Overview
With a heavy focus on real-world learning experiences, the program will build competencies in you for extracting deep insights from big data that are readily applicable in a range of contexts and industries.
The M.S. program in Data Analytics at Northern Illinois University provides students the advanced knowledge and skills to analyze organizational data. The use of analytics is accelerating due to technological advancements, exponential growth in data, and increasingly sophisticated application by organizations. Analytics is embedded in all industries, business functions, and employee workflows. The program prepares students for data-driven leadership and problem solving. Graduates of the M.S. in data analytics will be data-driven thinkers to approach business decision-making more rigorously and confidently, while effectively communicating data findings, interpreting complex data, and guiding their organizations in making more informed and actionable strategic decisions.
The program is in an online format for a large population of potential graduate students who cannot commit to either a full-time or location-based program to obtain the advanced degree. The program consists of two phases. Phase One (6 semester hours) is designed to address deficiencies in undergraduate course work considered to be prerequisite for the Phase Two (30 semester hours) graduate course work. Students with significant undergraduate course work in business may be waived from some, or all, of the Phase One requirements. Exemption exams are also available to waive Phase One requirements. There is no charge for the exam, however, a student may only attempt each exam once. Phase Two consists of 10 courses to ensure an in-depth study in data analytics.
Learning Outcomes
Learning Outcome 1: Demonstrate Data-Driven Problem Solving and Decision Making Skills
1.1 Demonstrate how analyzing data can improve decisions throughout an organization’s value chain.
1.2 Research and evaluate emerging technologies and data analytics trends in order to develop innovative data-driven organizational strategies and solutions.
Learning Outcome 2: Demonstrate the Ability to Access, Collect, Integrate, and Analyze Data in Order to Solve Business Problems
2.1 Differentiate different forms of analytics and the methods used in each.
2.2 Prepare data for statistical analysis.
2.3 Use analytical tools and software widely used in practice.
2.4 Perform basic exploratory and descriptive analysis, as well as predictive and prescriptive analyses.
2.5 Explain complex analytical models.
Learing Outcome 3: Demonstrate Business Communication and Presentation Skills
3.1 Effectively present results using data visualization tools.
3.2 Communicate and present complex analytics results to business clients, using practical and simple business terms that can be understood by general non-technical audiences.
Learning Outcome 4: Demonstrate Project Management and Critical Thinking Skills
4.1 Manage a data analytics project to interpret complex data and to guide their organizations in making more informed and actionable decisions.
4.2 Analyze critical factors leading to the identification of a business problem or opportunity. This may also lead to smarter business moves, more efficient operations, higher profits, and happier customers.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Business Applications of Database Management Systems
- Business Intelligence Applications and Tools
- Big Data Analytics for Business
- Advanced Predictive Data Analytics for Business
- Business Applications of Text Mining
Key information
Duration
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- Starting
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Language
Credits
30 - 36 credits
Delivered
Disciplines
Business Intelligence & Analytics Data Science & Big Data View 86 other Masters in Data Science & Big Data in United StatesAcademic requirements
English requirements
Other requirements
General requirements
- Completed a four-year undergraduate degree from a regionally accredited institution or one with equivalent recognition.
- Achieved a 2.75 grade point average on a 4.00 scale, or the equivalent.
- If you received a three-year degree awarded through the Bologna process in Europe or a three-year Bachelor of Commerce or Bachelor of Business Administration awarded in India, you are eligible to apply (provided you are seeking admission to the MBA or OMIS program).
- Transcripts
- Letters of recommendation.
- Statement of purpose.
- Test scores (if required).
- Resume or curriculum vitae (optional)
- Additional materials required by your program.
Tuition Fee
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International
849 USD/creditTuition FeeBased on the original amount of 849 USD per credit and a duration of 24 months. -
National
492 USD/creditTuition FeeBased on the original amount of 492 USD per credit and a duration of 24 months. -
In-State
492 USD/creditTuition FeeBased on the original amount of 492 USD per credit and a duration of 24 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Getting a Student Visa
This is an online programme. You can attend from the comfort of your chair! So you don't need a student visa!
Fresh content
Updated in the last year
Check the official programme website for potential updates.