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Curriculum and Program

  • Is MS in Business Analytics and Data Science a stem degree?

    Students automatically get 12 months of OPT. If they are employed with an E-Verify company, they may receive an additional 24 months for a total of 36 months of OPT.

  • Can the program be completed in 18 months or before?

    No. The program structure is designed in such a way that typically it takes 4 semesters to complete the degree for on campus students. You can work in summer through internships. Also, in any one of your last two semesters, you can take an online class and therefore be able to do an advanced internship.

  • Is there an online/distance based learning option?

    There’s an online option for MS BAnDS program for working professionals. Please check the link for more information.

  • Are there any prerequisite course requirements?

    There are no hard prerequisite courses for our program. But it would be beneficial if the applicant has a basic understanding of database systems, programming and statistics.

  • What is the typical cohort strength?

    The typical cohort will be somewhere around 40 students. The purpose of having a low intake is to maintain a better student-faculty interaction.

  • What does your program offer in terms of career relations, strategy and support?

    The program offers students with plenty of opportunities to learn and help them grow in their career: Here are a few highlights:

    1. SAS Certification exams and SAS and OSU certificates
    2. Programming boot camps
    3. Opportunity to publish research papers in various conferences
    4. Potential internship (summer and advanced) opportunities and FT placements
    5. Year-long real company projects
    6. Opportunities to participate in national analytics competitions, research symposiums, analytics case competitions and so on
    7. Opportunities to interact with companies in our advisory board
  • What are the analytics tools taught as part of the course?
    • Analytical tools: Google TensorFlow, Python, R and SAS
    • Visualization tools: Alteryx, Power BI and Tableau
    • Database systems: AWS, Hadoop (Hive) and SQL
  • Do I get to learn advanced machine learning concepts from the core courses?

    Yes. We do have advanced machine learning concepts like Random Forest, Gradient Boosting etc. We also teach deep learning concepts such as deep neural networks, convolution neural networks and recurrent neural networks. In addition, the course curriculum is very flexible to choose electives from other colleges/departments in the university such as computer science, statistics and industrial engineering.

Careers and Jobs

Housing, Cost of Living and Quality of Life

Application and Admission

  • What are the application deadlines?

    For on campus enrollment as a full time student (including international applicants), we only have fall admissions. The priority deadline is January 15 and the final deadline is March 1. We do not admit on-campus students for spring semesters.


    For online enrollment as a part-time student (including working professionals), we offer both fall and spring admissions. The spring application deadline is November 1 prior to the spring semester, and the fall deadline is June 1 prior to the fall semester.

  • What documents are required to complete the admission process?

    The following documents are required as a part of the application.

    • Graduate college application form.
    • Three letters of recommendation (LOR)
    • Current resume (as an attachment to application form)
    • Statement of purpose (SOP) discussing your strengths and weaknesses, and reason(s) for pursuing this degree (as an attachment to application form)
    • GMAT or GRE, with minimum recommended scores above 51st percentile in each of the test areas
    • TOEFL/IELTS for international students
  • How are parts of the application weighed?

    Applications are weighted using a holistic approach. The past academic success of the applicants, their scores in GRE/GMAT, relevant work experience, their passion to pursue this degree which is measured from their statement of purpose and the letters of recommendation are weighted as a whole for the admission decision.

  • Is work experience required to apply to the graduate programs? Is an interview required?

    Work experience is considered as part of the overall application review process. While strongly preferred, it’s not a mandatory requirement. However, it is difficult for international students to get good placement in the U.S. without at least two years of prior experience. As part of your application process, we require a current resume to clearly outline your work history. Yes, all on campus students will have to go through about two non-technical interviews with faculty and/or alums of the program. The purpose of these interviews is to ensure you are the right candidate for our program and it's the right program for you.

  • Are TOEFL/IELTS scores required for all international applicants?

    TOEFL/IELTS scores are required for students whose native language is not English or those who have not completed their full four years of bachelor’s or master’s degrees in the following countries: United States, United Kingdom, Australia, Uganda or New Zealand.

  • My GPA is out of 10; do I need to convert it?

     No. The applicant does not need to convert their GPA to a 4 scale using WES.

  • Does the program have spring or summer intake?

    The full-time, on-campus program is fall enrollment only. The online MSBAnDS program has both fall and spring enrollment. 

  • What is the acceptance rate? 

    The acceptance rate for fall 2019 on-campus cohort was about 20%.

  • I have not done any calculus or statistics or computer science programming? Am I eligible to apply?

    There are no absolute prerequisite course requirements for our program. Although, basic understanding of database systems, programming and statistics would be recommended. With the motivation, you can learn the basic understanding of all of these topics before joining the program by utilizing free online resources such as coursera.

  • Do you offer any kind of conditional admission?

    No. We do not offer any kind of conditional admission for on-campus students. The applicant’s profile is evaluated holistically and given admission, only if qualified.

  • Is there rolling admissions for the Masters in Business Analytics and Data Science program?

    Yes, we have rolling admissions. We review applications starting mid-November until application deadlines. We send offers of admission periodically starting mid-November to mid-April.

  • Does this program accept a three-year degree?

    Yes, this master’s program will accept three-year degrees. Original transcripts must be submitted; third-party evaluations will not be accepted.

  • Is it possible to waive the application fee?

    No, it is not possible to waive the application fee.

Scholarships, Assistantships and Fees

  • Do you offer any graduate assistantships?

    Yes, in the first semester, there are few one-semester long assistantships and some scholarships awarded based on incoming credentials. From the second semester, some students are awarded graduate assistantships based on their first semester performance and incoming credentials.

  • What is the cost for online and on-campus programs?

    Cost for the program varies depending on credit-hours taken, scholarship funding, assistantships and financial aid. Complete the Free Application for Federal Student Aid (FAFSA) to calculate eligibility for aid.  Students planning to enroll under F-1 student visa status should not complete the FAFSA, yet eligibility for need-based aid will be further determined through a process provided by the program post-admission.   


    Students enrolled in the full-time Business Analytics and Data Science master's program will complete 37 credit hours during the course of their studies. Cost estimates below are calculated based on 2020-2021 rates.

    2020-2021 estimated costs Resident Non-resident 
    Total cost per credit hour $501.80 $1147.75
    Spears Business professional program fee (Fall and Spring only) $250 $250
    Total cost per 3-credit hour course (excluding professional program fee) $1505.40 $3443.25
    Total program cost based on 37 hours (includes professional program fees over 21 months) $19566.60 $43466.75

    Additional cost details and OSU’s tuition and fee estimator are available on the Bursar website.


    * This is only an estimate of cost, based on currently approved 2020-2021 rates. Cost estimates do not include textbooks nor do they factor in individual transfer credits or scholarship information. Tuition and fees are subject to change at any time without prior notice. 

  • Do you offer financial aid or student loans?

    Most student loans are based on financial need or creditworthiness and are available only to U.S. citizens and permanent residents. Eligible OSU graduate students can receive Subsidized Direct Loans, Unsubsidized Direct Loans, Federal Perkins Loans and Federal Work-Study. Graduate students are not eligible for Pell Grants.


    For financial aid purposes, OSU graduate students carrying nine or more hours which are required for their degree, during the fall and spring semesters are considered full-time; graduate students carrying 4-7 hours which are required for their degree are considered half-time. Graduate students carrying 3 hours or less in the fall or spring semesters are not eligible to receive Subsidized or Unsubsidized Direct Loans.


    Domestic students should complete the Free Application for Federal Student Aid (FAFSA). The deadlines for submission of this form vary by state. The Institutional Code for OSU is 003170.


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