Overview
The M.Sc. in Data Science and Analytics at Buffalo State SUNY provides students with advanced training in essential skills for data manipulation, organisation, and presentation. This programme is tailored for individuals from diverse undergraduate backgrounds who possess basic programming and statistical capabilities. Participants will engage with a curriculum that covers a wide array of marketable techniques, focusing on data analytics tools, computer coding, machine learning, geospatial programming, data design, visualisation, and thorough analysis. The programme not only emphasises technical skills but also fosters professional competencies in project management, communication, data governance, and creative problem-solving, all of which are vital for effective collaboration in various industry settings.
Why Data Science and Analytics at Buffalo State SUNY?Buffalo State SUNY is recognised for its commitment to providing high-quality education in data science. The university boasts strong partnerships with local industries, enhancing the learning experience through practical workshops and networking opportunities. Students benefit from state-of-the-art facilities that support hands-on learning and research, ensuring they are well-prepared for the demands of the job market.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science and Analytics are structured as follows:
- International Fee: USD 11,895 per semester
- National Fee: USD 11,895 per semester
- Local Fee: USD 5,655 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme comprises a series of required and elective courses designed to provide a comprehensive education in data science:
- Introduction to Data Science and Analytics
- Machine Learning for Data Science
- Experiential Learning in Data Science and Analytics
- Elements of Mathematics, Programming and Computer Science for Data Science
- Project Management for Math and Science Professionals
- Communication Strategies for Math and Science Professionals
- Data Strategy and Governance
- Introduction to Statistics for Data Science
- Biological Data Analysis
Additionally, students will select elective courses tailored to their interests, allowing them to specialise further in areas such as communication for leaders, data analytics for strategic communication, and machine learning models in Python.
Careers with Data Science and AnalyticsGraduates of the M.Sc. in Data Science and Analytics are well-equipped to enter various sectors, including technology, healthcare, finance, and education. Alumni have found positions in leading companies, where they utilise their skills in data analysis, project management, and strategic decision-making. The programme prepares students for roles such as data analysts, data scientists, and business intelligence specialists, ensuring they are ready to meet the evolving demands of the workforce.
Programme Structure
Courses include:
- Data Science and Analytics
- Machine Learning for Data Science
- Elements of Mathematics, Programming and Computer Science for Data Science
- Statistics for Data Science
- Methods and Techniques of Educational Research
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Buffalo, United States
Disciplines
Data Science & Big Data Data Analytics View 461 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
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
- A bachelor’s degree from an accredited college or university with a minimum cumulative GPA of 2.5 (4.0 scale).
- A two- to three-page statement of intent (essay) that includes the following:
- 1.educational and professional objectives; and
- 2.an explanation of the reasons for interest in data science and analytics
- An interview with the program coordinator or a DSA faculty member. The student will be contacted for an appointment after the completed application is received.
Tuition Fees
-
International Applies to you
Applies to youNon-residents23790 USD / year≈ 23790 USD / year - Out-of-State23790 USD / year≈ 23790 USD / year
-
Domestic
Applies to youIn-State11310 USD / year≈ 11310 USD / year
Living costs
Buffalo
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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 Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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