Overview
The Master of Science in Data Science at Western Michigan University is a comprehensive programme that merges the expertise of the Department of Statistics and the Department of Computer Science. This interdisciplinary approach ensures that students receive a well-rounded education, preparing them for the high demand for data scientists in various industries. The curriculum is designed to address the complexities of data management, processing, and analysis, equipping graduates with the necessary skills to navigate the challenges presented by big data.
Why Data Science at Western Michigan University?Western Michigan University is recognised for its strong academic programmes and commitment to research. The Data Science programme benefits from a collaborative environment, allowing students to engage with faculty who are experts in their respective fields. The university's state-of-the-art facilities and resources further enhance the learning experience, providing students with access to the latest technologies in data science and analytics.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science are as follows:
- National Students: USD 14,316 per year
- International Students: USD 14,316 per year
- Local Students: USD 9,544 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme is structured over four semesters, comprising core courses and elective options. Below is an outline of the key modules:
- Semester 1 (Fall):
- Applied Linear Models
- Big Data Analysis Using Python
- Advanced Storage, Retrieval and Processing of Big Data
- Semester 2 (Spring):
- Computer Based Data Analysis
- Advanced R Programming for Data Science
- Machine Learning
- Semester 3 (Fall):
- SAS Programming
- Database Systems
- Data Science Masters Project or Master's Project
- Semester 4 (Spring):
- Elective Course from Statistics or Computer Science
- Data Science Masters Project or Master's Project
Electives include topics such as Epidemiology, Statistical Theory, and Advanced Artificial Intelligence, allowing students to tailor their education to their interests and career goals.
Careers with Data ScienceGraduates of the Master of Science in Data Science programme are well-prepared for a variety of roles in the data-driven landscape. Alumni have found success in sectors such as healthcare, finance, and technology, working as data analysts, data scientists, and machine learning engineers. The skills acquired during the programme enable graduates to contribute effectively to teams and lead data-centric projects, making them valuable assets in their respective fields.
Programme Structure
Courses included:
- Applied Multivariate Statistical Methods
- Nonparametric Statistical Methods
- Time Series Analysis
- Statistical Theory
- Statistical Inference
- Design of Experiments
- Advanced Statistical Inference
- Parallel Computations
- Artificial Neural Systems
- Network Programming
- Advanced Parallel Computations
- Data Mining
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
-
- Starting
- Apply before , National
- Apply before , International
-
- Starting
- Apply before , International
-
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
- Kalamazoo, United States
Disciplines
Data Science & Big Data View 462 other Masters in Data Science & Big Data 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
- Teaching assistant applicants need a cumulative GPA of 3.0 or better (or their equivalent in your grading system).
- Copy of passport identification page
- Proof of English language proficiency
- Transcripts from all post-secondary schools attended or are attending, including diplomas, examination results, mark sheets and certificates
- $100 non-refundable application fee
- Proof of sufficient funds for the first academic year of study at WMU according to estimated cost of attendance
- Resume/Curriculum Vitae
- Written statement
Tuition Fees
-
International Applies to you
Applies to youNon-residents15620 USD / year≈ 15620 USD / year - Out-of-State15620 USD / year≈ 15620 USD / year
-
Domestic
Applies to youIn-State10414 USD / year≈ 10414 USD / year
Additional Details
Local Summer: 2,386 International Summer: 3,579
Living costs
Kalamazoo
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
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.
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