Overview
The M.Sc. in Data Science at New Jersey Institute of Technology (NJIT) is an innovative programme that equips students with the necessary skills to thrive in a rapidly evolving data-centric world. As the first university in New Jersey to offer a standalone master's degree in this field, NJIT is committed to providing a robust educational experience that combines theoretical foundations with practical application.
Why Data Science at NJIT?NJIT is recognised for its excellence in engineering and technology education, consistently ranking among the top universities in the United States. The university boasts strong industry partnerships, providing students with ample networking opportunities and exposure to real-world challenges. State-of-the-art facilities and resources, including advanced laboratories and collaborative spaces, enhance the learning experience, ensuring that graduates are well-prepared for the workforce.
Tuition Fee BreakdownThe tuition fee for the M.Sc. in Data Science is set at USD 1,143 per credit for both domestic and international students. With a total of 30 credits required to complete the programme, students can expect a total tuition cost of approximately USD 34,290. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the M.Sc. in Data Science encompasses a mix of core and elective courses designed to provide a comprehensive understanding of data science principles. Key modules include:
- Statistical Inference
- Machine Learning
- Data Visualisation
- Data Mining
- Big Data Technologies
Students will engage in hands-on programming projects, primarily using Python and its data science libraries, alongside tools such as R and Tableau for statistical analysis and visualisation.
Careers with Data ScienceGraduates of the M.Sc. in Data Science programme will find themselves well-equipped to pursue a variety of roles in the data sector. Alumni have successfully secured positions in leading organisations, where they apply their knowledge to solve complex problems. Potential career paths include data analyst, data scientist, and machine learning engineer, with opportunities in diverse industries such as finance, healthcare, and technology.
Programme Structure
Courses include:
- Python and Mathematics for Machine Learning
- Machine Learning
- Deep Learning
- Applied Statistics
- Applications of Parallel Computing
- Data Visualization and Interpretation
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before , International
- Apply before , National
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Language
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Credits
Delivered
Campus Location
- Newark, United States
Disciplines
Data Science & Big Data View 195 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
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
- Application for admission
- $75 nonrefundable application fee
- Transcripts from all colleges and universities attended
- GRE/TOEFL/GMAT/IELTS/Duolingo results
- One letter of recommendation
Tuition Fees
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International Applies to you
Applies to youNon-residents18165 USD / year≈ 18165 USD / year - Out-of-State18165 USD / year≈ 18165 USD / year
-
Domestic
Applies to youIn-State18165 USD / year≈ 18165 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (Online).
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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