Overview
The Master of Science in Data Analytics (Online) degree at Northern Illinois University continues that tradition, offering you a holistic approach to the field of data analytics. Your coursework will be based on the latest trends and best practices in the field. By focusing on real-world learning experiences, you’ll develop the ability to extract deep insights from big data and apply them to a range of contexts and industries. Our faculty are active researchers and expert teachers.
They’ll expose you to Hadoop, R, Python, SQL, SAP Predictive Analytics, SAS, Tableau and other cutting-edge technologies. It takes 10 weeks to complete each course, and you can complete the 10 required courses in as little as 12 months. When you graduate, you’ll also earn the NIU-SAS joint certification credential. Data analytics is a sought-after field. CNN Money noted that analytics manager is the second-fastest-growing job in the country, and Salary.com listed the annual salary of data analytics managers as well over $100,000.
Career Opportunities
- Data scientist/data analyst
- Data mining analyst
- Data engineer
- Business intelligence analyst
- Business/management analyst
- System analyst
- IT project manager
Programme Structure
The Master of Science in Data Analytics program consists of two phases.
- Phase One courses are designed to address deficiencies in undergraduate coursework considered to be prerequisite for Phase Two (30 credits) graduate coursework. Students with significant undergraduate coursework in business may be waived from some, or all, of the Phase One requirements.
- Phase Two consists of 10 courses. Five courses are required from big data analytics (15 credits), three courses are required from business and visual communication (nine credits), one course is required from statistics (three credits) and one course is required from programming (three credits).
Key information
Duration
- Part-time
- 12 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- Starting
- Apply before , International
- Apply before , National
-
Language
Interested in an IELTS preparation course? Get started here
Credits
Delivered
Disciplines
Data Analytics View 101 other Masters in Data Analytics in United StatesAcademic requirements
English requirements
Interested in an IELTS preparation course? Get started here
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
27150 USD/yearTuition FeeBased on the tuition of 905 USD per credit during 12 months. -
National
27150 USD/yearTuition FeeBased on the tuition of 905 USD per credit during 12 months.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility