Data Analytics

Northern Illinois University

M.Sc. Online
24 months
849 USD/credit
492 USD/credit
492 USD/credit
Tuition fee
Apply date
Start date


Our fully online Master of Science in Data Analytics at Northern Illinois University is an intensive program that will prepare you for the fastest growing occupations in data science. This program features coursework based on the latest trends and best practices in the field. 


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.

Programme 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


  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines




30 alternative credits

30 - 36 credits



Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
Start practicing IELTS today!
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
More about PTE Academic

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

  • International

    849 USD/credit
    Tuition Fee
    Based on the original amount of 849 USD per credit and a duration of 24 months.
  • National

    492 USD/credit
    Tuition Fee
    Based on the original amount of 492 USD per credit and a duration of 24 months.
  • In-State

    492 USD/credit
    Tuition Fee
    Based on the original amount of 492 USD per credit and a duration of 24 months.


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.

Our partners

Data Analytics
Northern Illinois University


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