Data Science (MS)
Data Science (MS)
Master's Programs
- Arts & Letters (MLitt)
- Data Science (MS)
- Education (MEd)
- Finance (MS)
- Medical Humanities, Health & Society (MA)
- Teaching (MAT)
Doctoral Programs
Certificate Programs
Take the Next Step
CONTACT
Alex Rudniy
Associate Professor, Mathematics & Computer Science & Co-Director of Data Science
Hall of Sciences 309
arudniy@drew.edu
CONTACT
Ellie Small
Assistant Professor, Mathematics & Computer Science & Co-Director of Data Science Mathematics and Computer Science
Hall of Sciences 304
esmall1@drew.edu
CONTACT INFORMATION
Office of Graduate Admissions
36 Madison Avenue Madison, NJ
973-408-3111
Contact a specific staff member
Admission Requirements
Deadline: Rolling admissions
Admission requirements
- Completed application
- Bachelor’s degree from an accredited institution with a 3.0 GPA
- Official transcripts from all post-secondary institutions
- Personal statement
- Resume/CV
- GRE or GMAT scores optional
INTERNATIONAL APPLICANTS
need to meet additional criteria, such as submitting TOEFL/IELTS scores. See our international admissions page for more information
Big data. Bigger ideas.
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 data from a wide variety of sources.
- Gain mastery of data analytical techniques.
- Leave with a portfolio of projects and work experience from experiential learning projects and internships.
- Focus on statistics, data science, and programming.
Read more about the Data Science degree, and review the Program Requirements.
“Every data set hides a story; a data scientist’s job is to find that story and tell it.”
Ellie Small
Assistant Professor, Mathematics & Computer Science and Co-Director of Data Science, Mathematics, and Computer Science
Programs
Master of Science (30-36 credits, one year full-time)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
- Introductory Statistics (or equivalent)
- Introduction to Programming (or equivalent)
Fall (12 credits)
- Statistics Using R (3 credits)
- Computational Thinking/Programming in Python (3 credits)
- Applied Regression Analysis (3 credits)
- Elective (3 credits)
Spring (12 credits)
- Networks and Text Mining (3 credits)
- Data Science Using SQL and Relational Databases (3 credits)
- Statistical Machine Learning (3 credits)
- Data Visualization and Communication (3 credits)
Summer (6 credits)
- Data Science Internship (3 credits)
- Capstone: Case studies in Data Science (3 credits)
Master of Science (30-36 credits - two years part-time - fall start)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
- Introductory Statistics (or equivalent)
- Introduction to Programming (or equivalent)
Fall I (6 credits)
- Statistics Using R (3 credits)
- Computational Thinking/Programming in Python (3 credits)
Spring I (6 credits)
- Networks and Text Mining (3 credits)
- Data Science Using SQL and Relational Databases (3 credits)
Fall II (6 credits)
- Applied Regression Analysis (3 credits)
- Elective (3 credits)
Spring II (6 credits)
- Statistical Machine Learning (3 credits)
- Data Visualization and Communication (3 credits)
Summer (6 credits)
- Data Science Internship (3 credits)
- Capstone: Cases studies in Data Science (3 credits)
Master of Science (30-36 credits - two years part-time - spring start)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
- Introductory Statistics (or equivalent)
- Introduction to Programming (or equivalent)
Spring I (6 credits)
- Data Science Using SQL and Relational Databases (3 credits)
- Data Visualization and Communication (3 credits)
Fall I (9 credits)
- Statistics Using R (3 credits)
- Computational Thinking/Programming in Python (3 credits)
- Applied Regression Analysis (3 credits)
Spring II (6 credits)
- Networks and Text Mining (3 credits)
- Statistical Machine Learning (3 credits)
Summer (6 credits)
- Data Science Internship (3 credits)
- Capstone: Case studies in Data Science (3 credits)
Fall II (3 credits)
- Elective (3 credits)
Graduate Certificates (12 credits each)
Our graduate certificates enhance core skills required to draw information from data. You may choose from one of three emphases: Statistics, Data Science or Business Analytics. Or, design your own program in consultation with the program director. If you complete one of these certificate programs, you may apply the credits to the Master of Science in Data Science.
Prerequisites (6 credits)
Must be taken prior to enrolling in a Data Science certificate program. May be taken during the summer before the program starts.
- Introductory Statistics (or equivalent)
- Introduction to Programming (or equivalent)
Data Science Certificate: Statistics (12 credits)
- Statistics Using R (3 credits)
- Applied Regression Analysis (3 credits)
- Computational Thinking/Programming in Python (3 credits)
- Statistical Machine Learning (3 credits)
Data Science Certificate: Data Science (12 credits)
- Statistics Using R (3 credits)
- Networks and Text Mining (3 credits)
- Computational Thinking/Programming in Python (3 credits)
- Data Analytics Using SQL and Relational Databases (3 credits)
Data Science Certificate: Business Analytics (12 credits)
- Statistics Using R (3 credits)
- Applied Regression Analysis (3 credits)
- Financial Quantitative Analysis (3 credits)
- Computational Finance and Large Data Analysis (3 credits)
Outcomes
With the digital transformation of academia and the workforce, it is not surprising that data science and data analytics jobs are projected to grow at some of the fastest rates in the near future.*
| Job title | Average salary | Projected five-year growth |
| Analytics managers | $105,909 | 15% |
| Data scientists & advanced analysts | $94,576 | 28% |
| Data-driven decision makers | $91,467 | 14% |
| Data systems developers | $78,553 | 15% |
| Data analysts | $78,553 | 16% |
| Functional analysts | $69,162 | 17% |
*Burning Glass Technologies
CAREER OUTCOMES
| Position | Company |
|---|---|
| Founder | PA Capital LLC |
| Associate Data Analyst | Evernorth Health Services |
| Associate Cybersecurity Analyst | Unqork |
| Data Scientist | Healthfirst |
| Client Engineering Data Scientist | IBM |
| Data Engineer | Mediatek |
| AMS Office – Operational Excellence | Sanofi |
| Compliance Consultant | Bank of China USA |
| Business Intelligence Developer | American Financing |
| EHR Data Analyst | KCare |
| Associate | WB Games Boston |
| Data Scientist | Climate Engine |
| Revenue Management Analyst | Resia |
“Drew’s Data Science programs are structured to focus on the intersections of statistics, computer science, skills and technologies.”
