Overview
Data science is a pivotal discipline that influences decision-making across various sectors, including business, government, and non-profits. The Master of Science in Data Science at Monroe College prepares students to harness vast amounts of data, transforming raw information into actionable insights. This interdisciplinary field combines statistics, engineering, artificial intelligence, and applied mathematics to uncover patterns in complex datasets, enabling organisations to strategise effectively.
Why Data Science at Monroe College?Monroe College's King Graduate School is recognised for its commitment to academic excellence and innovation. The university's strong industry ties and experienced faculty ensure that students receive practical knowledge relevant to today’s job market. With a focus on real-world applications, Monroe College equips graduates to meet the growing demand for data science professionals.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science are as follows:
- International Students: USD 9,640 per semester
- Domestic Students: USD 9,640 per semester
- Local Students: USD 9,640 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 build a comprehensive skill set. It includes core courses and electives that cover:
- Database Systems and Data Management
- Big Data, Data Collection, and Data Mining
- Data Analysis, Modelling, and Visualisation
- Software Engineering
- Computer Networks
- Cloud Computing
- Artificial Intelligence
- Machine Learning
- Statistical Programming
The programme culminates in a faculty-guided capstone project, allowing students to demonstrate their acquired skills. Students will also gain proficiency in programming languages such as Python, R, and SQL, alongside training on industry-standard tools like Amazon Web Services (AWS) and Tableau.
Careers with Data ScienceGraduates of the Master of Science in Data Science can expect to find opportunities across a variety of industries. Potential career paths include:
- Data Scientist
- Applied Data Scientist
- Data Analyst
- Machine Learning Engineer
- Predictive Analyst
- Data Statistician
- Technical Analyst
- Data Engineer
With the skills gained from this degree, graduates are well-equipped to influence decision-making processes in fields ranging from finance to healthcare, ensuring they remain competitive in a data-centric job market.
Programme Structure
Courses include:
- Statistical Computing
- Data Mining
- Artificial Intelligence
- Machine Learning
- Big Data: Management & Analytics
- Applied Data Science Project
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before , National
-
- Starting
- Apply before , International
- Apply before , National
-
- 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
- Bronxville, United States
Disciplines
Data Science & Big Data View 470 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
- Candidates must possess a bachelor’s degree from an accredited four-year institution of higher education.
- Candidates must submit:
- A completed application for admission.
- A 500-word essay describing your career goals and why you want to pursue a master’s degree.
- A current résumé.
- Transcripts from all prior educational institutions attended.
- Two (2) professional letters of recommendation.
- Data Science candidates must also participate in a pre-admission interview.
Tuition Fees
-
International Applies to you
Applies to youNon-residents19280 USD / year≈ 19280 USD / year - Out-of-State19280 USD / year≈ 19280 USD / year
-
Domestic
Applies to youIn-State19280 USD / year≈ 19280 USD / year
Additional Details
International Online Graduate Tuition $461/ credit
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
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