Overview
The Data Science programme at Temple University provides a comprehensive foundation in the analysis, management, and tracking of large-scale datasets. Students engage with both structured and unstructured data to extract meaningful insights that drive decision-making across various sectors. This undergraduate degree is designed to meet the soaring global demand for professionals who possess a blend of technical expertise and analytical proficiency.
Housed within the College of Science and Technology, the curriculum allows for significant customisation through three distinct concentrations. Whether focusing on computational methods, physical modelling, or biological data, learners benefit from a rigorous academic environment.
Why Data Science at Temple University?
Students benefit from the extensive resources of the College of Science and Technology, including dedicated academic advising and professional development centres. The university offers unique study away opportunities in locations such as Germany, Italy, Japan, and Spain, allowing students to experience global perspectives on scientific research. Additionally, the Owl to Owl mentor programme pairs undergraduates with experienced alumni to build professional networks and gain industry exposure.
Tuition Fee Breakdown
- International fee: USD 39480 per year
- National fee: USD 39480 per year
- Local fee: USD 23856 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a deep dive into programming, mathematics, and specialised analytics. Modules may include:
- Data Structures and Algorithms
- Classical Physics
- Machine Learning
- Calculus
- Differential Equations with Linear Algebra
- Mathematical Concepts in Computing
- Evolutionary Ecology
- Genomics in Medicine
- Organic Chemistry
Careers with Data Science
Graduates are well-prepared for high-demand roles in industries such as biotechnology, energy, healthcare, telecommunications, and transportation. The programme's focus on niche skills ensures that students are competitive candidates for technical positions in medical and scientific organisations. Common career paths for alumni include:
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Data Science Generalist
Many students also choose to progress to advanced academic study, pursuing master's or doctoral degrees in computational sciences or mathematics. The university supports these transitions through regular job fairs that connect students with major employers like Lockheed Martin and the Children’s Hospital of Philadelphia.
Programme Structure
Courses include:
- Data Structures and Algorithms,
- Classical Physics,
- Machine Learning,
- Calculus,
- Differential Equations with Linear Algebra,
- Mathematical Concepts in Computing.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before
-
Language
Prepare for Your English Test
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
Credits
Delivered
Campus Location
- Philadelphia, United States
Disciplines
Data Science & Big Data View 470 other Bachelors in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
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
- Apply using the Common Application
- Fee: Fee waivers are available for first-year students who qualify
- Laptops are integrated into the curriculum at the College of Public Health to improve opportunities for active learning and provide greater access to specialized software and required tools in and out of the classroom. Incoming students are required to have a laptop that meets certain minimum hardware specifications.
Tuition Fees
-
International Applies to you
Applies to youNon-residents39480 USD / year≈ 39480 USD / year - Out-of-State39480 USD / year≈ 39480 USD / year
-
Domestic
Applies to youIn-State23856 USD / year≈ 23856 USD / year
Living costs
Philadelphia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility