Posted by Admin on 15-11-2024 in Shiksha hub
Posted by Admin on 15-11-2024 in Shiksha hub
Are you considering a career in data science? If so, an M.Sc. in Data Science from NIILM University could be just what you need. This post provides detailed information about the course, including the admission process, eligibility, fees, duration, and the syllabus for 2024.
The M.Sc. in Data Science at NIILM University is a comprehensive program designed to provide students with the skills and knowledge required to excel in the field of data science. The course covers a wide range of topics, including data analysis, machine learning, data visualization, and more.
The admission process at NIILM University is simple and straightforward. It starts with an online application, followed by an entrance exam and an interview. To register for the course, students need to submit the necessary documents and pay the registration fee.
Eligibility Criteria |
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A bachelor's degree in a relevant field from a recognized university |
Minimum 50% marks in the bachelor's degree |
Qualifying the entrance exam conducted by the university |
Course | Duration |
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M.Sc. in Data Science (Full-time) | 2 years |
M.Sc. in Data Science (Part-time) | 3 years |
Course | Fees (Per Year) |
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M.Sc. in Data Science (Full-time) | ₹2,00,000 |
M.Sc. in Data Science (Part-time) | ₹1,50,000 |
The syllabus for the M.Sc. in Data Science at NIILM University for the year 2024 includes a wide range of topics designed to provide students with a comprehensive understanding of the field. The syllabus includes:
The selection process includes an entrance exam and an interview conducted by the university. The final selection is based on the performance in these two stages.
The annual fee for the full-time course is ₹2,00,000 and for the part-time course, it is ₹1,50,000.
The full-time course is a 2-year program, while the part-time course extends over a period of 3 years.
Students graduating with an M.Sc. in Data Science from NIILM University can expect to find opportunities in various sectors including IT, healthcare, finance, retail, and more. Job roles can range from Data Scientist and Data Analyst to Machine Learning Engineer and Business Intelligence Analyst.