Overview
The Data Science B.Sc. at Montclair State University provides a robust academic framework designed to equip students with the analytical and technical skills necessary to excel in modern technology sectors. This programme blends theoretical knowledge with practical application, ensuring that graduates are proficient in managing, analysing, and interpreting complex datasets to drive informed decision-making.
Why Data Science at Montclair State University?
Montclair State University offers a dynamic learning environment where students gain access to modern computing facilities and a curriculum aligned with industry needs. The programme emphasises a strong foundation in Python and R programming, which are essential tools in the current job market. By integrating a mandatory minor, the university ensures that students can bridge the gap between pure data analysis and specific industry applications, enhancing their employability in a competitive landscape.
Tuition Fee Breakdown
- International fee: USD 26394 per year
- National fee: USD 26394 per year
- Local fee: USD 15678 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Python Programming
- Data Structures and Algorithms in Python
- Data Science
- R Programming
- Database Systems
- Data Visualization
- Advanced Techniques in Data Science
- Data Mining
- Machine Learning
Careers with Data Science
Graduates of the programme are prepared for a wide range of professional roles in the technology and data sectors. The skills acquired during the course are highly sought after in industries such as finance, healthcare, retail, and government. Potential career paths include roles as data analysts, machine learning engineers, database administrators, and research scientists. The inclusion of an internship or research project further enhances graduate prospects by providing direct experience in solving complex computational problems.
Programme Structure
Courses Include:
- Database Systems
- Data Visualization
- Advanced Techniques in Data Science
- Data Mining
- Machine Learning
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
- Starting
- Apply before , International
-
Domestic students applying for Fall admission are considered on a rolling, space-available basis.
Language
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Credits
Delivered
Campus Location
- Montclair, 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
English requirements
Prepare for Your English Test
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Submit your application.
- After you submit the application, you will see instructions for paying the $65 non-refundable application fee on the status page of your application portal.
- Upload or mail your academic records from all secondary schools attended.
- International students, with the exception of those eligible for waivers (noted below), must submit proof of English proficiency.
- Complete and upload your Essay/Personal Statement.
- For most majors, a recommendation letter is not required but is strongly encouraged. Submit recommendation letter from a college counselor or teacher.
- Official SAT or ACT scores are optional.
Tuition Fees
-
International Applies to you
Applies to youNon-residents26394 USD / year≈ 26394 USD / year - Out-of-State26394 USD / year≈ 26394 USD / year
-
Domestic
Applies to youIn-State15678 USD / year≈ 15678 USD / year
Living costs
Montclair
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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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.
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