Drew University United States

Data Science (M.S.)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Science (M.S.) in Data Science at Drew University is designed for aspiring professionals eager to harness the power of data in today's information-rich world. You will delve into the critical areas of data visualization, applied regression analysis, network and text mining, and machine learning, developing the analytical acumen required to extract meaningful insights. This postgraduate program equips you with the foundational knowledge and practical skills to address complex challenges across various industries, preparing you to make data-driven decisions and drive innovation.

This full-time, on-campus Master's degree is structured over one year, immersing you in a curriculum that balances core theoretical concepts with hands-on application. You will engage with essential tools such as R, Python, and SQL, and have the opportunity to complete a significant data science internship or research project, culminating in a capstone case study. You will graduate with a robust portfolio and the expertise to pursue impactful careers in data analytics, business intelligence, and computational research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science in Data Science program provides a comprehensive foundation in data analysis, machine learning, and computational techniques. Students will explore essential topics such as data visualization, applied regression, network and text mining, and statistical analysis using R and Python. The curriculum also covers database management with SQL and culminates in a capstone experience, including options for internships, research projects, or case studies, alongside specialized elective courses in areas like artificial intelligence and business analytics.

1 Required Courses (30 credits)

Data visualization
Applied regression analysis
Network and text mining
Statistics using R
Computational thinking/programming in Python
Data analytics using SQL and relational databases
Machine learning

2 Required Capstone Courses (6 credits)

Data science internship
Data science research project
Capstone: case studies in data science

3 Elective Course (3 credits)

Artificial intelligence
Business analytics
Modeling and simulation
Topics in data analytics
Master’s tutorial
Big data analysis using the ROOT framework
Introduction to elementary particles
Financial economics
Behavioral finance

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 37,280.00
Total Program Cost Estimated total tuition
USD 37,280.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,040.00 - USD 1,300.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Madison campus.

Outcomes & Employability

What happens after you graduate

60%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aerospace Engineering & DesignAnimation & Visual EffectsCustomer Experience & SupportCybersecurity & Network SecurityEvent Promotion & ManagementQuality Assurance & TestingRoad Transport & LogisticsSoftware Development & EngineeringTalent & Artist ManagementUnmanned Aerial Vehicles (Drones)

Top Employers Hiring for this course

AT&T

CGI

IBM

NCAA

Why Study Data Science (M.S.) at Drew University

What makes this program stand out

Very Fast Application response time

Drew University typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Drew University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science (M.S.) at Drew University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work does not require separate permits, while off-campus work needs university approval after the first year.

What English language score do I need for this course?

Applicants must meet specific English test requirements, including a Duolingo overall score of 105 or a minimum IELTS score of 6.5. Other accepted tests include TOEFL and PTE, each with their respective score requirements.

What jobs can I get after studying this course?

Potential job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, and Data Engineer.

What will I actually study in this course?

The digitization of information—social networks, business transactions, healthcare records and more—has transformed the world, necessitating a demand for people who understand all of the big data being collected and who can take action to help individuals, corporations and organizations become smarter, faster and ultimately more effective.

Through Drew’s Master of Science and graduate certificate programs in Data Science, you will:

  • Learn how to obtain, prepare and manage

When can I start — what are the intake months?

The Data Science (M.S.) program admits students in September. Ensure you prepare your application and any required documents ahead of time.
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