Overview

Why Computational Data Science at Temple University?

Temple University’s Computational Data Science programme is housed within the College of Science and Technology, renowned for its academic excellence and innovative approach. The university is strategically positioned to provide students with access to cutting-edge facilities and partnerships that enhance learning and research opportunities. With a commitment to fostering a diverse academic environment, Temple ranks among the top institutions for data science education, preparing students for impactful careers in a variety of fields.

Tuition Fee Breakdown

The tuition fees for the Computational Data Science programme are structured as follows:

International Fee: USD 1,765 per credit
National Fee: USD 1,765 per credit
Local Fee: USD 1,353 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Science in Computational Data Science consists of 30 credits, culminating in a Master’s Project. Key required courses include:

Design and Analysis of Algorithms
Machine Learning
Operating Systems
Principles of Data Management

This comprehensive structure ensures that students gain a robust foundation in computational analytics, enabling them to analyse large datasets effectively.

Industry Demand

The demand for data scientists is rapidly increasing across various industries, including healthcare, finance, education, and government. Graduates of the Computational Data Science programme will be well-positioned to meet this demand, equipped with the skills necessary to navigate complex data environments and contribute to significant advancements in their chosen fields.

Guaranteed Work Experience

This programme includes a Master’s Project or an advanced Master’s Thesis, allowing students to engage in practical, hands-on experiences that are critical for their professional development.

Careers with Computational Data Science

Graduates of the Computational Data Science programme find themselves in high-demand roles across a range of sectors. Alumni have successfully secured positions in various industries, including technology, education, and government, often taking on roles such as data analysts, data scientists, and research specialists. This degree not only prepares students for immediate employment but also lays the groundwork for further academic pursuits or research opportunities.

Programme Structure

Courses include:

Programming Techniques

Design and Analysis of Algorithms

Machine Learning

Operating Systems

Principles of Data Management

Computer Architecture

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-13 00:00:00
- Apply before 2026-11-01 00:00:00 , National
- Apply before 2026-08-01 00:00:00 , International
Starting 2027-08-26 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

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IELTS

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Credits

30 SCH

Delivered

On Campus

Campus Location

Philadelphia, United States

Disciplines

Computer Sciences Data Science & Big Data View 461 other Masters in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

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

Research your graduate degree program

Complete online application

Bachelor's Degree in Discipline/Related Discipline: A baccalaureate degree is required.

Academic transcripts must be officially sealed from each college and university previously attended, including Temple University.
Submit three letters of recommendation from Computer Science faculty and professionals.
In approximately 500 to 1,000 words, describe your specific interest in Temple's program as well as your academic and research achievements, future career aspirations and research goals.
A current professional résumé is required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

52950 USD / year

≈ 52950 USD / year
Out-of-State

52950 USD / year

≈ 52950 USD / year
Domestic

Applies to you

In-State

40590 USD / year

≈ 40590 USD / year

Living costs

Philadelphia

United States

1313 - 2284 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Free visa & career support through our Path2Success program

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Computational Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Philadelphia

Financing

Funding

Scholarships Information

Available Scholarships

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