Online master degree big data

Data Science Master’s degree,Liquid Learning at IE University

The online Master of Computer Science with a concentration in big data systems can help. You'll design scalable systems for capturing, processing, and interpreting large and complex data sets.

You'll also gain analytical expertise to generate insights from data and inform decision-making for organizations. Learn more. Quick facts. If you want to help businesses make sense of Big Data, the online master’s in data science from Bellevue University may be a great choice.

This 30 credit hour program strikes a unique balance between both programming and statistics. Courses include: Predictive Analytics; Data Mining; Data Exploration and . NCSU is also proud to be home of the nation’s first Big Data residential degree program. The Master of Science in Analytics can be acquired at their Institute of Advanced Analytics. NC State offers an online Master’s Degree Program in Statistics, which is the exact same on-campus program and degree, including the number of requirements and.


Data analytics make it possible to extract a fourth V: Data analytics is the process of transforming vast amounts of raw data into constructive, actionable information. To derive insights from large amounts of data, a data analyst must store, manage, sort, structure, and mine the data using highly sophisticated tools.

The analyst can then apply refined data analysis to discover trends and influence business decisions. Just as the volume of big data keeps growing, so do the sources.

From commercial transactions to social media posts, personal data to weather patterns, nearly all data today is being tracked and recorded. It is up to data analysts to uncover the real potential.

Great strides have been made in the gathering, storage, and security of big data, but the real opportunity is in the data analysis. Its application is virtually limitless, and will shape the world we live in, from the way we interact on a personal level to how businesses and governments evolve.

The increased use of big data in virtually every sector has created a talent gap for data analysts. The ever-increasing generation of data has rendered it unmanageable by traditional means, and the diversity of data sources makes finding insights even more complex.

The discount for Federal employees and their spouses and eligible dependents will be applied to out-of-state tuition and specialty graduate programs. It does not apply to doctoral programs. This discount cannot be combined with the Completion Scholarship for Maryland community college students or the Pennsylvania Completion Scholarship. Undergraduate and standard graduate program tuition for students who meet the criteria for Maryland residency will be the applicable in-state rate.

Public Health Service and National Oceanic and Atmospheric Administration; and the spouses and dependents of these student groups will be the applicable military or specialty rate.

View important information about the education debt, earnings, and completion rates of students enrolled in certificate programs. All students are required to pay tuition for all courses in which they are enrolled. They may be changed, or other charges may be included, as a result of the Board of Regents decisions. Notwithstanding any other provision of this or any other university publication, the university reserves the right to make changes in tuition, fees and other charges at any time such changes are deemed necessary by the university and the USM Board of Regents.

The Board of Regents has authorized the university to charge a student's delinquent account for all collection costs incurred by the university. Requests for services for example, transcripts, diplomas, registration will be denied until all debts are paid. Please see the Policy on Student Classification for Admission and Tuition Purposes for specific details about residency requirements.

Financial aid and tuition remission for University System of Maryland employees cannot be applied to noncredit courses. Golden ID benefits may not be applied to fees, noncredit courses, specialty graduate programs, or doctoral programs. GI Bill is a registered trademark of the U. Department of Veterans Affairs. More information about education benefits offered by VA is available on the U. The UCSP requirement may be waived if you previously earned a graduate degree from a regionally accredited institution.

For more information, contact your academic advisor. An examination of the process of decision making in large organizations and the technologies that can be used to enhance data-driven decision making.

Focus is on the underlying framework of good decision making, featuring operational decisions as reusable assets that can be automated through the creation of business rules. How data can add analytic insight to improve decisions is explored. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making.

Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL extract, transform, load processing; and metadata management. A practical survey of several modern machine learning techniques that can be applied to make informed business decisions. How each of these methods learns from past data to find underlying patterns useful for prediction, classification, and exploratory data analysis is examined.

Discussion covers significant tasks in real-world applications, including handling of missing data, evaluating classifiers, and measuring precision. Major software tools are used to apply machine learning methods in a wide range of domains such as healthcare, finance, marketing, and government.

An introduction to advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Advanced statistical and machine learning algorithms such as support vector machines SVM , regression, deep learning, and ensemble models are used to develop, assess, compare, and explain complex predictive models.

Topics include high-performance modeling, genetic algorithms, and best practices for selecting methods and tools to build predictive models. Major software tools are used to apply predictive modeling in a wide range of domains for improved decision-making in real business situations.

An introduction to concepts, approaches and techniques in managing and analyzing large data sets for improved decision-making in real business situations.

International Masters in Big Data. The International Masters in Business Analytics and Big Data are innovative programmes based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners.

The programmes provide young and highly-motivated candidates with the knowledge, skills and competencies required to meet the accelerating demand for data scientists.

The courses are designed to enhance managerial talent by harnessing the power of data and turning it into knowledge and business value. Master in Computer Sciences Industry 4.

The aim of this master is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of the current and future generations of digital societies. Current trends in digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data, and cognitive computing have provided the basis for a new industrial revolution named Industry 4.

The programme features an interdisciplinary curriculum that helps students build the in-demand technical, analytical and communications skills needed to manage large data sets and drive organisational change. MSc in Big Data Systems. The value is one of the important characteristics that distinguish the Big Data as a new phenomenon. It is directly related to the economic impact that Big Data technology provides to users.

Master in Big Data. The Master in Big Data and Business Analytics, co-developed with the multinational Indra technology, provides a global vision of Big Data technologies and their use, as well as an applied and practical training in business analytics techniques Business Analytics , that is, in the application of Data Science techniques to business problems. Master in Big Data and Business Intelligence. The Master in Big Data and Business Intelligence aims to provide its students with an overview and globalization of Big Data technologies and their usefulness for achieving business objectives, as well as applied and practical training in business analytical techniques Business Analytics preparing the student for the current demand in this field of work that requires professionals who handle large volumes of data.

Own Master in Big Data. We live in the era of dataification, in which thanks to the sensors and the traceability that we can extract from the so-called fingerprint from our trace on the internet or from the use of our digital devices, we are in a position to translate phenomena into data that are used to help monitoring and decision-making or that can even be transformed into something monetizable. These diverse offerings ensure that Iowa State has a mastery of many subjects and can attract the best of the best faculty that the academy has to offer.

The program connects program analytics, project management, statistical and predictive modeling, data visualization, and includes a capstone project, allowing students to focus on their interest. The entire degree can be achieved in 21 months, including a one-week on campus course on business analytics. It is located 52 miles North of Pittsburgh, Pennsylvania, sitting on acres in the town of Slippery Rock. Established in , it is known for opening its doors to both female and male students since its inception, and at the time held the primary focus of training teachers.

Their student body totals 8,, and continues to grow enrollment and academic programming. Offered by the mathematics department, Slippery Rock has an outstanding Data Analytics Program , and with full time status can be completed in 11 months, or two years for part-time students.

One of the perks is that all of the coursework is online, with an option for an internship at the culmination of the program. The faculty are superstars in their field, packed with instructor who have extensive big business experiences. It is required that prospective students take the following prerequisites with a C grade or better in each: The courses above must be completed prior to the start of the program. The primary campus is located in Tallahassee on 1, acres of land, and 16 unique colleges within the larger University, and programs of study, including professional programs.

Florida State is classified as a research university, and is an American Public space grant and sea grant university. The program consists of three, hour courses that will update the learner with business management and business intelligence skills, and other topics including project management and electronic business.

The curriculum was carefully crafted so students can complete the program in 24 months, at the rate of 2 online classes per semester. Established in , this acre campus in the northernmost part of Alabama on the Tennessee line, supports more than just the state-of-the-art buildings where students and faculty collaborate, it also supports dynamic, inquiry-based learning at all levels.

These are some of the reasons why UAH proudly offers the biggest return on investment for students of all Alabama schools for the last several years running.

The new field of business analytics is ever expanding, and the curriculum at UAH offers the most forward thinking advanced techniques that give students a competitive edge with top of the line analytics tools to significantly contribute to the health of organizations and businesses. The program is designed for professionals in the business field who want to deepen their analytic practice and identify significant patterns, pinpoint cause and effect, and help organizations thrive.

One of the benefits of this particular program is that it is offered online, in-class or in a hybrid format, bringing together in-class discussions with online lectures. University of Dallas was founded in , and is a private independent Catholic school, with a regional draw. Located in Irving Texas, this school has made a name for itself as one of the best institutions for Catholic Orthodoxy, as well as a school of academic excellence.

Big Data, Bigger Results, Brighter Futures, which concisely addresses the goals and outcomes of this comprehensive program. The curriculum accounts for 30 credit hours, and strengthens the skills of students, enabling them to have great influence on data analysis strategy, by providing advanced skills in the interpretation of big data.

The program is STEM designated, meaning it qualifies international graduates for optional practical training O. You can find this beautiful campus nestled in the town of Corvallis, Oregon, sitting on acres of land.

The freemasons played a large role in creating the early school, beginning in , and many of the on campus buildings are named in honor of these men. Oregon State University is very current in its offerings to students, acknowledging the growing need for highly skilled data analysts.

It has become more and more evident that there is high demand for professionals who have the unique skillset of large amounts of data, and in turn, OSU has created the Data Analytics Master of Science program and the subsequent graduate certificate program, through the College of Science and Department of Statistics. The program is entirely online and taught by full-time faculty at Oregon State University. Ecampus students are located all over the world, therefore giving students the opportunity to work with a diverse group students, representing over 50 countries.

There are three campuses: The main campus is divided into seven distinct schools with different disciplines. Coursework includes Statistics, Data visualization, Strategic Behavior, and computer sciences.

The program is designed for working professionals who are not taking a break from their careers, and therefore, the work is flexible and entirely online.

There are, however, weekly live classes, facilitated in a virtual classroom, with a small size for an intimate experience. North Carolina State University, is located in Raleigh North Carolina and is a noteworthy research institution with a land, sea and space grant institution. It is also known as the largest university in the Carolinas, with an enrollment of over 34, students. The diplomas are also almost the exact same, the only discrepancy is that the online program offers fewer electives, as of now.

Online students have access to video recordings of lectures that are excellent quality, with an ability to rewind, pause, and view in multiple sittings, and are coupled with applicable exercises. The course of study is made up of 30 semester hours, and the minimum prerequisites required include: Calculus through Multivariate Calculus, and Linear Algebra.

Personal statements, transcripts and credentials are heavily weighted in the admissions process. Despite what it goes by, Regis remains the same Roman Catholic Jesuit Institution that it always was.

One aspect of their fascinating legacy is their commitment to charity, and how that played a role in the evolution of the university. You can find this large campus, made up of 5 colleges, in Denver, Colorado. The US News and World Report gave Regis a top tier ranking in as one of the best schools in the western United States for more than the past 20 years.

This engaging program offers a tangible career pathway in data analytics, providing students with the comprehensive skills in deciphering, interpreting, and analyzing data, with the necessary additional skills of communicating results, consistencies, trends, and potential subsequent outcomes for businesses, and organizations. The program can be taken either online or on campus.

The campus-based option is administered using a cohort model, and courses generally take place at the Denver Tech Center Campus. Both online and in person classes are offered in eight week sections or terms. AU contains seven unique schools and colleges, all of which have been consistently ranked highly in national college rankings.

They also are known for their highly regarded film and video department. The program is designed for working professionals who are interested in deepening their data analytics tools and performance in support of businesses and organizations, allowing them to help solve some of the largest challenges regarding fiscal effectiveness and operational efficiency.

This online program gives students agency and flexibility, as they are encouraged to either choose a concentration that is already designed or create their own using a variety of electives. A few examples of the predesigned tracks include: Financial analytics, cyber security, consulting, and marketing analytics. Another exciting aspect of the program capstone immersions that students, where students have the opportunities to work with businesses to help them analyze and solve challenges that they encounter.

This center is a world renowned research hub for deconstructing autism interventions, as well as a hotbed for new scientific discoveries related to autism.

The campus itself has many disability resources and accommodations, as well as many on-site and online resources for all students. The University of Kansas Edwards Campus offers a Masters of Science in Applied Statistics and Analytics ; a program that emphasizes applicable and tangible hands-on statistical computing skills, and problem solving methodology. The program has a strong focus on data analytics and statistics, as applied to government agencies and industry.

The online format of this program was designed for professionals to complete this program, while still maintaining their workload and life responsibilities.

The curriculum fits within 30 credit hours, and is organized into three sections. The University of Oklahoma was established in , as a well respected public institution in Norman, Oklahoma. To accommodate such a large student body, there are over 3, faculty members employed by the university. One of their claims to fame is that the school is ranked first in the enrollment of National Merit Scholars, and consistently among the top ten in graduating Rhodes Scholars.

One of the competitive graduate offerings at the University of Oklahoma is the Master of Science in Data Science and Analytics , which is connected to the Gallogly College of Engineering. There are full time and part time options for the program, as well as on campus and completely online options, all designed to meet the needs of individual learners. Every student will receive individual advising to craft a unique experience that suits their individual goals and is appropriate for their graduation timeline.

The degree can be completed with the course-work only option, or students can choose to take on a research thesis, where they receive hands-on professional training. Saint Louis University is a private, four-year research institution, with a Roman Catholic foundation. This highly acclaimed school has an international reach, with a campus in St.

Louis, Missouri and one in Madrid, Spain. The school was established in , making it the second oldest Jesuit University in the country, and the oldest University west of the Mississippi River. The campus in Madrid was the first free standing American campus in Europe. The Saint Louis Campus has an enrollment of 13, students, with a graduate program that represents 70 countries and all 50 of the United States. The student faculty ratio is One of the many stellar opportunities at Saint Louis University is their online Master of Science in Applied Analytics, which is offered through the school of professional studies.

This comprehensive and interdisciplinary program is geared towards working professionals who are seeking advancement in the fields of data and analytics. The curriculum includes 36 credit hours, which are offered in eight week terms.

The course load and online format are designed for students to continue working either full-time or part-time. There are set online discussion sessions that are interactive and moderated by a faculty member, that work in concert recorded lectures and weekly assignments.

Illinois Institute of Technology has its main campus located in the heart of Chicago, in the Bronzville neighborhood. They have four additional campuses. This institution has early roots in advanced education beginning in , and in , the merger became Illinois Tech. Since its inception, IIT has been a private university that grants doctoral degrees.

In it was featured in the Princeton Review as one of the best colleges in the United States, and also on their list for Best Midwestern Colleges. Students also have the opportunity to study part-time and complete all of their coursework online.

This program is more flexible and again, coursework can be completed online. Named after the famous 17th century missionary and explorer Jaques Marquette, and was initially created to bring affordable Catholic education to the local German immigrant population.

At its inception it was strictly an all male school, but has since become co-educational. Located in Milwaukee Wisconsin, the main campus is divided into 11 colleges and schools, offering a variety of comprehensive programming. Marquette is one of 28 postsecondary institutions that make up the Association of Jesuit Schools and Colleges, and is one of the largest Jesuit Universities in the United States.

Marquette has an exciting data driven program with an outcome of a Master of Science in Computing. Their website states that their mission is to prepare the IT leaders of tomorrow. This online option also gives students who do not live in the area access to this specialized degree program from Marquette. One of the crowning jewels of this program is what is called the Integrated Practicum, given students to opportunity to attend graduate school and start a career at the same time, while also receiving financial support.

In Big Data Management, you learn how to prepare data, link data from different sources and analyze relationships. The focus is on artificial intelligence methods for data analysis as well as their applicability and evaluation in different business scenarios. The Master in Big Data and Business Intelligence aims to provide its students with an overview and globalization of Big Data technologies and their usefulness for achieving business objectives, as well as applied and practical training in business analytical techniques (Business Analytics) preparing the student for the current demand in this field of work that requires professionals who handle large volumes of data. 30 Best Online Master's in Data Science Degree Programs

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UNIR is committed to meeting the needs sissy dating sites belgiujm online master degree big data of Read more about this program on the institution's online master degree big data.

Data capture and storage: Management and data processing with MongoDB. Hadoop Tools and Data Analysis and text mining with R. Google Charts, JQuery plug-ins, for visualizations and D3. It also includes subjects that allow contextualizing the Analytics in the business environment: Attendance at the end of each semester Practices: Compulsory and face-to-face external practices 6 ECTS.

Valid by professional experience. Check the bases [EXTENDANCHOR] the public offer. The methodology is based on online live classes and personal tutor to offer the best training. The UNIR pedagogical model is effective because it is based on a totally online methodology so that each student can study at their online master degree big data pace: There are classes scheduled every day of the week in the morning and afternoon so you can attend class when it is best for you.

Online classes in deferred: If you could not attend a class [MIXANCHOR] you stayed with questions, you can access all your just click for source in deferred.

You can see them whenever you want and as many times [MIXANCHOR] you need.

The first day you will be assigned a personal tutor. You will be in contact with him by phone and email. He will support you in your day to day and solve any doubts that may arise. Everything you need to study at UNIR is on campus: You will have access to [MIXANCHOR] learning resources to complete your training: Evaluation system To know the level of achievement of the general and specific objectives defined in the online master's degree, it read more necessary to evaluate the competences acquired during the study of the same.

The evaluation of learning is carried out taking into account the qualification obtained in the following points: Master's ThesisProfessional outingsFor positions of "Data Scientist" and "Business Intelligence", companies and [EXTENDANCHOR] look for dynamic professionals who combine knowledge of the Company, management of Big Data technologies click here advanced analysis skills.

Only a profile of these characteristics can identify, collect, analyze, interpret and transform the data into relevant information. Some professional outputs of this read article Online master degree big data the different phases required for the preparation of a good visualization: Design a data collection method that manages to map an activity, task or process into concrete data.

Use existing techniques and tools for data mining, statistics and information visualization. Design and developinteractive, usable and eloquent online master degree big data.

Design and develop a system to click here decision making, contemplating the complete process: UNIR is committed to meeting the needs and expectations of our [MIXANCHOR] Ask a Question General Information Can you send me more information about this program?

Program Dates When is the application deadline for this program? What is the start date for this program? Can I pay for this program in installments? What is the duration of this program? Is this program offered part-time or full-time? Study Article source Where is this school located? Where is [MIXANCHOR] campus located? Funding What other funding options do you have for this program?

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Master Data Science | Online Data Science Master | UCM

The Master of Science in data analytics program at University of Maryland Global Campus is designed to meet the rising need for highly skilled professionals who can transform the growing amount of institutional data into valuable assets. These program requirements are for students who enroll in the — academic year. For prior year academic requirements, visit the catalog archive in the Current Students section.

Our curriculum is designed with input from employers, industry experts, and scholars. You'll learn theories combined with real-world applications and practical skills you can apply on the job right away. You must maintain a GPA of 3. All degree requirements must be fulfilled within five consecutive years. Any transfer credits must have been earned within the five-year time frame to be applied toward a graduate degree.

Please review our overview of overall master's degree requirements for additional considerations. This program is designed to help prepare you for work in the high-demand field of data science and analysis in a public- or private-sector organization. Potential career fields include data mining, machine learning, and predictive modeling for large data sets. We recommend a background in software programming and statistics. If you do not have demonstrated experience or prior coursework in programming, you may be required to complete additional coursework.

If you lack a background in statistics, you must take UCSP or equivalent. We recommend UCSP if you'd like to improve your graduate writing skills.

To be admitted to the program, you must meet the standard criteria for graduate admission at UMGC and provide one of the following:.

Turning Data from Insights Into Value" Most companies have traditionally been very application-based. A degree from UMGC, coupled with my experience, has instilled the confidence to be able to speak authoritatively on the subject. I have had two phenomenal professors, and I'm looking forward to having them again in [upcoming] semesters.

Just as UMGC paved the path for cyber security education, the university is once again at the forefront with launch of the data analytics program. We are partnering with leading employers to develop a cutting-edge curriculum that prepares our students with the skills and knowledge to compete and thrive in this growing field. I have been so happy with this program; I'm glad I made this decision. I recommended UMGC to a couple of my friends.

It's just been such a great experience. Student organization Available To: The Computing Club aims to create a dynamic environment where members can work collaboratively, share innovative ideas, enhance their career-readiness, and gain marketable experience in their respective fields.

This club provides opportunities for students to learn more about the field of marketing, discuss their shared interests, and network with classmates and faculty members. Her professional experience includes consulting in the fields of data mining, performance measures, and decision support for the past 15 years.

She earned a PhD in industrial engineering and operations research from the University of California, Berkeley, and a bachelor's degree in civil engineering and operations research from Princeton University.

Elena Gortcheva joined UMGC in after a year computer engineering career in academia as a professor, researcher, and industry consultant. Her professional interests include data mining, intelligent systems, artificial intelligence, and emerging technology.

She has employed her professional experience to the curricula development for the Master of Science in data analytics program. Charles "Steve" Knode has taught for more than 35 years in areas that include operations management, artificial intelligence, decision making, neural networks, decision support systems, expert systems, management science, and statistics.

His professional interests include emerging information technologies, artificial intelligence, virtual environments, intelligent agents, and decision making. Knode is a retired U. Air Force officer who served 20 years in the military in a variety of analytical and decision-making positions.

He was an intercontinental missile crew commander and a tactical operations planner at major command headquarters, and he served at the Pentagon. Knode earned a PhD in operations research management from Syracuse University, a master's in industrial management from University of North Dakota, and a bachelor's in mathematics from Duke University.

He is certified in project management and earned value management. According to IBM , people create 2. Big data is used to describe a vast quantity of data that is so large that it becomes too difficult to manage using traditional technologies. Big data is commonly defined using the three Vs:. Data analytics make it possible to extract a fourth V: Data analytics is the process of transforming vast amounts of raw data into constructive, actionable information.

To derive insights from large amounts of data, a data analyst must store, manage, sort, structure, and mine the data using highly sophisticated tools.

The analyst can then apply refined data analysis to discover trends and influence business decisions. Just as the volume of big data keeps growing, so do the sources. From commercial transactions to social media posts, personal data to weather patterns, nearly all data today is being tracked and recorded. It is up to data analysts to uncover the real potential. Great strides have been made in the gathering, storage, and security of big data, but the real opportunity is in the data analysis.

Its application is virtually limitless, and will shape the world we live in, from the way we interact on a personal level to how businesses and governments evolve. The increased use of big data in virtually every sector has created a talent gap for data analysts. The ever-increasing generation of data has rendered it unmanageable by traditional means, and the diversity of data sources makes finding insights even more complex.

The discount for Federal employees and their spouses and eligible dependents will be applied to out-of-state tuition and specialty graduate programs. It does not apply to doctoral programs. This discount cannot be combined with the Completion Scholarship for Maryland community college students or the Pennsylvania Completion Scholarship.

Undergraduate and standard graduate program tuition for students who meet the criteria for Maryland residency will be the applicable in-state rate.

Public Health Service and National Oceanic and Atmospheric Administration; and the spouses and dependents of these student groups will be the applicable military or specialty rate. View important information about the education debt, earnings, and completion rates of students enrolled in certificate programs. All students are required to pay tuition for all courses in which they are enrolled.

They may be changed, or other charges may be included, as a result of the Board of Regents decisions. Notwithstanding any other provision of this or any other university publication, the university reserves the right to make changes in tuition, fees and other charges at any time such changes are deemed necessary by the university and the USM Board of Regents. The Board of Regents has authorized the university to charge a student's delinquent account for all collection costs incurred by the university.

Requests for services for example, transcripts, diplomas, registration will be denied until all debts are paid. Please see the Policy on Student Classification for Admission and Tuition Purposes for specific details about residency requirements.

Financial aid and tuition remission for University System of Maryland employees cannot be applied to noncredit courses. Golden ID benefits may not be applied to fees, noncredit courses, specialty graduate programs, or doctoral programs. GI Bill is a registered trademark of the U. Department of Veterans Affairs.

More information about education benefits offered by VA is available on the U. The UCSP requirement may be waived if you previously earned a graduate degree from a regionally accredited institution. For more information, contact your academic advisor. An examination of the process of decision making in large organizations and the technologies that can be used to enhance data-driven decision making. Focus is on the underlying framework of good decision making, featuring operational decisions as reusable assets that can be automated through the creation of business rules.

How data can add analytic insight to improve decisions is explored. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making.

Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL extract, transform, load processing; and metadata management.

A practical survey of several modern machine learning techniques that can be applied to make informed business decisions. How each of these methods learns from past data to find underlying patterns useful for prediction, classification, and exploratory data analysis is examined. Discussion covers significant tasks in real-world applications, including handling of missing data, evaluating classifiers, and measuring precision.

Major software tools are used to apply machine learning methods in a wide range of domains such as healthcare, finance, marketing, and government. An introduction to advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models.

Advanced statistical and machine learning algorithms such as support vector machines SVM , regression, deep learning, and ensemble models are used to develop, assess, compare, and explain complex predictive models. Topics include high-performance modeling, genetic algorithms, and best practices for selecting methods and tools to build predictive models.

Major software tools are used to apply predictive modeling in a wide range of domains for improved decision-making in real business situations. An introduction to concepts, approaches and techniques in managing and analyzing large data sets for improved decision-making in real business situations. Topics include text analytics, sentiment analysis, stream analytics, AI and cognitive computing.

Discussion also covers how to identify the kinds of analyses to use with big data and how to interpret the results. Advanced tools and basic approaches are used to query and explore data using Hadoop Platform and in-memory analytical tools like Spark ML. Completion of a major analytics project designed to integrate knowledge and skills gained from previous coursework and provide a complete analytics experience, including problem scoping framing , data set preparation, comprehensive data analysis and visualization, and predictive model development.

Several peer-reviewed presentations are included to enhance the ability to "tell the story" and explain project approach and results. Projects are selected from student organizations, special government agency requests, or other faculty-approved sources. The project culminates in a complete analytics report and presentation. Recommended preparation for students who want to improve their writing skills.

An introduction to the writing skills needed for effective academic writing. Skills addressed include accurate grammar and punctuation, summarizing and synthesizing texts, developing well-organized and well-supported essays, integrating sources into writing, formatting academic papers using APA guidelines, and revising writing to produce clear, concise documents. An overview of the skills needed for academic and professional success.

Focus is on enhancing communication and critical thinking skills.