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Graduate Pathway in Data Science

Drew University

The Graduate Pathway in Data Science will prepare you to enter your next semester of a master’s degree program at Drew University. Upon successful completion of the Graduate Pathway and meeting university requirements for graduate admission, you may enter your next year of graduate study at a number of well-known US universities.

This transition from an INTO program to a university degree program is called progression.

Key Information

  • A Pathway program provides academic, language and cultural support in order to succeed at a US university.
  • Students are guaranteed progression to a graduate degree program through a curriculum consisting of credit-earning programs.
  • Students will benefit from fully integrated classes with both domestic and other international students on campus while learning from highly trained university instructors and tutors.
  • Drew Graduate Pathway programs provide students with comprehensive support to continue studies.

Program Details

Graduate Pathway in Data Science

Drew University

Academic Requirements

2.5 GPA Completion of a three-year Chinese diploma with 2.5 GPA. A background in business, analytics, computing or other related majors is required.

English Language Requirements
TOEFL iBT 70 (15 all subscores) , IELTS 6.0 (5.5 all subscores), PTEA 48, Duolingo 100

Note: The information is subject to change and application decisions may vary based on individual circumstances.

2025 Fall Start (August)

Degree start date : 17 August 2025 - Degree end date: 13 May 2026

  • Semester 1 fall: 17 August 2025 - 12 December 2025
  • Semester 2 spring: 14 January 2026 - 13 May 2026
2026 Spring Start (January)

Degree start date : 14 January 2026 - Degree end date: 18 December 2026

  • Semester 1 spring: 14 January 2026 - 13 May 2026
  • Semester 2 fall: 23 August 2026 - 18 December 2026

Estimated cost of attendance

Tuition fee

$ 36,215.00

Approximate cost

$ 36,215.00

Detailed pricing breakdown coming soon

Degree Program Components
30 Credit hour program 6-9 Credit hours apply from Pathway depending on the start term, if all prerequisite courses have been completed.21-24 Credit hours remaining toward degree depending on the start term of the Pathway program.
Credit Number
Sample Classes Title
Credit Hours

Semester 1

CSCI 150
Introduction to Computer Science in Python
3 Credit Hours
EAP 501
Graduate Skills I: Reading/Writing
3 Credit Hours
EAP 502
Graduate Skills I: Listening/Speaking
3 Credit Hours
STAT 207
Introductory Statistics
3 Credit Hours
Total credit hours
12 Credit Hours

Semester 2

DSCI 510
Computational Thinking/Programming in Python
3 Credit Hours
DSCI 550
Data Analytics using SQL and Relational Databases
3 Credit Hours
EAP 503
Graduate Skills II: Reading and Writing
3 Credit Hours
EAP 504
Graduate Skills II: Listening and Speaking
3 Credit Hours
Total credit hours
12 Credit Hours
Notes
  • * These courses are generally delivered through the INTO Center and are for Pathway students only. Students must maintain 2.0 GPA per semester to remain in good academic standing.
  • Undergraduate prerequisite coursework in Programming and Statistics is required with a grade of B or better.

P

= Placement option available

A

= Study abroad option available

Data Science (M.S.)

3.0 GPA - No GMAT
Additional Requirements