Thanks for visiting TopUniversities.com today! So that we can show you the most relevant information, please select the option that most closely relates to you.
Thanks for sending your response.
Your input will help us improve your experience.
Thanks for sending your response.
Your input will help us improve your experience.You can close this popup to continue using the website or choose an option below to register in or login.
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.
In our curriculum, we make extensive use of the Python programming language and its data science libraries while also featuring tools like R for statistical analysis, Tableau for data visualization, and SQL for databases. Students work on assignments covering both theory and applications on real data with support available from the professor and teaching assistant.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.
In our curriculum, we make extensive use of the Python programming language and its data science libraries while also featuring tools like R for statistical analysis, Tableau for data visualization, and SQL for databases. Students work on assignments covering both theory and applications on real data with support available from the professor and teaching assistant.
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Data Science - Computational Track
New Jersey Institute of Technology (NJIT), Newark, United States
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.
In our curriculum, we make extensive use of the Python programming language and its data science libraries while also featuring tools like R for statistical analysis, Tableau for data visualization, and SQL for databases. Students work on assignments covering both theory and applications on real data with support available from the professor and teaching assistant.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.
In our curriculum, we make extensive use of the Python programming language and its data science libraries while also featuring tools like R for statistical analysis, Tableau for data visualization, and SQL for databases. Students work on assignments covering both theory and applications on real data with support available from the professor and teaching assistant.
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Bachelor UG
Master PG
MBA
PHD
Business and Management (1)
Online Accelerated BS in Business
Arts and Humanities (6)
Architecture
Architecture (MS)
Digital Design
History
Master of Architecture
Master of Fine Arts in Digital Design
Online M.S. in Transportation
Online Master of Architecture
Online Master of Architecture (Advanced Placement)
Online Master of Science in Architecture: Specialize in Sustainability, Urbanism and/or Computation
Urban Design
Business and Management (6)
Applied Mathematics
Applied Statistics
Management
Online M.S. in Applied Science
Online M.S. in Business & Information Systems
Online M.S. in Management
Engineering and Technology (6)
Artificial Intelligence
Bioinformatics
Biomedical Engineering
Business and Information Systems
Chemical Engineering
Civil Engineering
Computer Engineering
Computer Science
Critical Infrastructure Systems
Cyber Security and Privacy
Data Science - Computational Track
Electrical Engineering
Engineering Management
Engineering Science
Environmental Science
Healthcare Systems Management
Industrial Engineering
Information Systems
Information Technology Administration and Security
Internet Engineering
Manufacturing Systems Engineering
Materials Science and Engineering
Mechanical Engineering
Occupational Safety and Health Engineering
Online M.S. in Civil Engineering
Online M.S. in Computer Science
Online M.S. in Computing & Business
Online M.S. in Cybersecurity & Privacy
Online M.S. in Electrical Engineering
Online M.S. in Engineering Management
Online M.S. in IT Administration & Security
Online M.S. in Industrial Engineering
Online M.S. in Power and Energy Systems
Pharmaceutical Engineering
Power and Energy Systems
Software Engineering
Telecommunications
Transportation
Life Sciences and Medicine (6)
Biology
Biology of Health
Biostatistics
Pharmaceutical Chemistry
Natural Sciences (6)
Applied Physics
Chemistry
Environmental Science
Materials Science and Engineering
Social Sciences and Management (6)
Data Science - Statistics Track
Online M.S. in Data Science
Online M.S. in Information Systems
Online M.S. in Professional and Technical Communication
Full-Time MBA (2)
Masters in Business Administration (MBA)
Online/Distance MBA (2)
Online MBA
Arts and Humanities (5)
Urban Systems
Business and Management (5)
Business Data Science
Ph.D. in Business Data Science
Engineering and Technology (5)
Biomedical Engineering
Chemical Engineering
Civil Engineering
Computer Engineering
Computer Science
Data Science
Electrical Engineering
Environmental Engineering
Industrial Engineering
Information Systems
Materials Science and Engineering (Materials Engineering Option)
Mechanical Engineering
Transportation
Life Sciences and Medicine (5)
Biology
Natural Sciences (5)
Applied Physics
Chemistry
Environmental Science
Materials Science and Engineering (Materials Science Option
Mathematical Sciences