Overview
Why Data Science at University at Albany?The University at Albany is renowned for its commitment to academic excellence, particularly in the field of data science. The programme is structured to provide students with a robust foundation in both theoretical and practical aspects of data analysis, machine learning, and artificial intelligence. With a focus on interdisciplinary learning, students benefit from partnerships with industry leaders and access to state-of-the-art facilities. The university's strong emphasis on research and innovation ensures that graduates are well-prepared to meet the demands of a rapidly evolving job market.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science are as follows:
- International Fee: USD 12,485 per semester
- National Fee: USD 12,485 per semester
- Local Fee: USD 5,655 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the Master of Science in Data Science is designed to provide a comprehensive understanding of key concepts and practical applications. The programme includes core requirements, elective courses, and a capstone project. Key components of the syllabus include:
- Programming for Data Science
- Topological Data Analysis I
- Topological Data Analysis II
- Mathematics for Data Science
- Optimization Methods and Nonlinear Programming
- Machine Learning
- Introduction to Theory of Statistics I
- Applied Statistics
- Nonparametric Statistics
- Practicum (choose one course from practical methods in topological data analysis or practical methods in machine learning)
- Electives (choose two courses from advanced linear algebra, introduction to stochastic processes I, or an additional practicum course)
The capstone requirement involves comprehensive data analysis and presentations, ensuring that students can effectively communicate their findings.
Careers with Data ScienceGraduates of the Master of Science in Data Science from the University at Albany are well-positioned to enter a variety of industries where data-driven decision-making is crucial. Potential career paths include roles such as:
- Algorithm Developer
- Business Intelligence Analyst
- Data Scientist
- Data Architect
- Data Engineer
- Data Mining Specialist
- Distributed Systems Engineer
- Machine Learning Engineer
With the increasing reliance on data analytics across sectors, alumni are sought after for their expertise in leveraging data to drive innovation and improve business outcomes.
Programme Structure
Courses Include:
- Topological Data Analysis
- Function Theory and Functional Analysis for Applications
- Optimization Methods and Nonlinear Programming
- Machine Learning
- Applied Statistics
- Nonparametric Statistics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
Rolling Admissions
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
- Albany, United States
Disciplines
Data Science & Big Data View 466 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
- Transcripts of all schools attended
- One academic reference is required, however two academic references are preferred
- GMAT
- Resume
- Statement of Goals
Tuition Fees
-
International Applies to you
Applies to youNon-residents30802 USD / year≈ 30802 USD / year - Out-of-State28318 USD / year≈ 28318 USD / year
-
Domestic
Applies to youIn-State13908 USD / year≈ 13908 USD / year
Living costs
Albany
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