Data Collection and Integration: Learning how to gather and integrate data from various sources, including databases, APIs, and streaming data.
MSc in Computer Science
An advanced postgraduate degree that focuses on the theoretical and practical parts of computer science is the Master of Science in Computer Science (M.Sc. Computer Science).
Certificate in Anchoring
Come fulfill your unfulfilled dreams with Times and Trends Academy, in this integrated short term course….
MSc (Computer Science)
Typically, the goal of an MSc programme in computer science is to provide advanced knowledge and proficiency in a range of computer scientific topics.
BSc (Statistics)
The MSU online distance learning platform offers a comprehensive and flexible Bachelor of Science (BSc) in Statistics programme that aims to give students a solid foundation in the subject.
Certificate in Pattern Making for Fashion Industry (PMFI)
The programme conducted by Department of Knitwear Design is designed to enhance the patternmaking skills of professionals working in the garment manufacturing industry. The programme….
Certificate in Pattern Making for Fashion Industry (PMFI)
M.Sc Computer Science
An advanced postgraduate degree that focuses on the theoretical and practical parts of computer science is the Master of Science in Computer Science (M.Sc. Computer Science).
M.Sc Computer Science
Bsc. Statistics
The foundations of statistical analysis and data interpretation are the main focus of a three-year undergraduate curriculum known as the Bachelor of Science (BSc) in Statistics. Students study probability theory, statistical techniques, and mathematical foundations while developing their data collecting, analysis, and inference skills.
Bsc. Statistics
M.Sc Computer Science
An advanced postgraduate degree that focuses on the theoretical and practical parts of computer science is the Master of Science in Computer Science (M.Sc. Computer Science).
Online Post Graduate Program in Cloud Computing (PGP-CC)
Course duration includes 6 Months + Preparatory Session
Recommended learning efforts for the course is 7 – 10 hrs per week











