Overview
Choosing to pursue a Master of Science in Business Analytics and Data Science (Online) at Oklahoma State University presents a unique opportunity for professionals aiming to enhance their analytical skills. This STEM-designated programme is consistently recognised among the top online degrees in the nation, as highlighted by Fortune. The curriculum is tailored for those currently in the workforce, equipping them with the necessary tools to transition into analytics and data science roles effectively.
Why Business Analytics and Data Science at Oklahoma State University?Oklahoma State University (OSU) boasts a strong reputation for its online programmes, particularly in Business Analytics and Data Science. The university's commitment to providing high-quality education is evident through its use of state-of-the-art enterprise-level analytics software. Students gain hands-on experience with industry-standard tools such as Alteryx, Azure, Data Bricks, GCP, Power BI, Python, R, SAS, SQL, Snowflake, Tableau, and TensorFlow. This practical training significantly enhances their employability in a competitive job market.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Business Analytics and Data Science (Online) are as follows:
- International Students: USD 530 per credit
- National Students: USD 530 per credit
- Local Students: USD 489 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the MS in Business Analytics and Data Science (Online) comprises 33 credit hours, which includes core courses and electives tailored to meet individual career aspirations. Students can specialise in various pre-approved options or develop a customised set of electives. The core courses encompass a range of topics that prepare graduates for roles such as data scientists, data/business analysts, consultants, or statistical analysts. Specific modules include:
- Data Analytics and Visualisation
- Statistical Methods for Business
- Predictive Analytics
- Big Data Technologies
- Machine Learning Applications
Graduates of the MS in Business Analytics and Data Science (Online) programme at Oklahoma State University often find employment in various sectors. Alumni have successfully secured positions as data scientists, analysts, and consultants in leading organisations. The skills acquired through this programme enable graduates to tackle complex data challenges and contribute to data-driven decision-making processes across industries.
Programme Structure
Courses include:
- Descriptive Business Analytics
- Predictive Business Analytics
- Advanced Business Analytics
- Programming for Data Science & Analytics
- Statistics for Data Science
- Data Warehousing
Key information
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Stillwater, United States
Disciplines
Business Administration Business Intelligence Data Science & Big Data View 1232 other Masters in Business Administration in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- GMAT or GRE are required with minimum recommended scores above 51st percentile in each of the test areas.
- Work experience is considered during the application review process and is strongly encouraged. Those with five-plus years of relevant work experience may be allowed probationary admission without GRE or GMAT scores.
- Personal Statement
- 3 Letters of Recommendation
- Transcripts
- Application Fees
- English Proficiency
Tuition Fees
-
International Applies to you
Applies to youNon-residents20786 USD / year≈ 20786 USD / year - Out-of-State17890 USD / year≈ 17890 USD / year
-
Domestic
Applies to youIn-State7550 USD / year≈ 7550 USD / year
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 Business Analytics and Data Science (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
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
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