Master of Science - Data Science
- 1 year
- Duration
- 37,280 USD
- Price
- Rolling admission
- Start
- Rolling admission
- Deadline
- Master
- Degree
- Campus
- Format
- Madison / USA
- Location
- Drew University
- School
Program description
Master of Science in Data Science is a practical curriculum that instructs students on extracting insights from data. The curriculum encompasses classes in statistics, data science, and programming, with practical data analytics projects and internship possibilities across several disciplines and businesses. Students conclude the program with a portfolio of data analytics projects that demonstrate the application of their abilities in internship and case study endeavors.
Advanced Research
Data Science students concentrate on the convergence of statistics and computer science, incorporating expertise from an additional discipline or industry, while emphasizing the application of skills and technologies through case study courses, internships, and capstone projects tailored to individual interests. Experiential learning is an essential element of our program, aligned with Drew University’s goal throughout all three schools.
Curricular Components
Courses focused on Big Data examine the acquisition, preparation, and management of data from diverse sources. Students engage with extensive data extracted from the internet and social media platforms.
Courses focused on Data Analysis examine the mastery of several analytical approaches. Students utilize data analytics across several fields via data analysis, visualization, computer simulation, and computer modeling. Students acquire information regarding the applications, possibilities, and constraints of computer technology tools as a basis for research and knowledge acquisition across several disciplines and throughout society.
Courses that emphasize Communication of data-driven conclusions examines the outcomes derived from an investigation of empirical data. Students collaborate effectively. Applied data science is a multidisciplinary field that encompasses the interaction of statistics, computer science, and several other fields. All classwork emphasizes practical applications and the sharing of outcomes. Students exit the program equipped with a portfolio of project work and practical experience from their internships.
Program structure
I. Core Courses
- 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
II. Required Capstone Courses
- Data Science Internship
- Capstone: Case Studies in Data Science
III. Elective Course
- Modeling and Simulation
- Business Analytics
- Topics in Data Analytics
- Master’s Tutorial
- Introduction to Elementary Particles
- Financial Economics
- Behavioral Finance
Price
Tuition fee: 37,280 USD
Requirements for applicants
Academic entry requirements
- Undergraduate degree
- Minimum GPA equivalent: 3.0
English language requirements
- TOEFL iBT: 80 (18 subscores)
- IELTS: 6.5 (6.0 in all subscores)
- Duolingo: 105
- Academic English: Level 6
About the university
Drew University was founded in 1867 and celebrated its sesquicentennial in 2017. The university consists of three schools: the College of Liberal Arts, the Theological School and the Caspersen School of Graduate Studies. Drew is situated on a lovely, forested campus in Madison, New Jersey, a flourishing little town near New York City.
Drew's one-of-a-kind, cutting-edge path to an undergraduate degree, Launch platform, guarantees that every student graduates with a purpose, sought-after transferable skills, a mentor network, and an experience-based résumé. Drew's distinctive, immersive learning experiences include professionally-mentored scientific research in RISE and DSSI, volunteer and community-based opportunities through the Center for Civic Engagement, making industry connections over seven semesters in New York City, and exploring the world through eye-opening international study abroad trips.
Drew University's two graduate schools provide ten master's and four doctorate degrees. There are several certificate programs available. All programs are built on Drew's well-known dedication to faculty-student mentoring, chances for out-of-classroom experiential learning, and fostering a strong intellectual and global community, with many programs available in hybrid or totally online formats.
