Is Manipal Global Academy of Data Science good for PG Diploma?
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1 Answer
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Manipal Global Academy of Data Science offers a full-time Post Graduate Diploma in Data Science, which is a 11-month programme that covers topics such as programming, database management, statistics, machine learning, big data, data visualization, and artificial intelligence. The programme also offers electives in banking analytics, marketing analytics, unstructured data analysis, and robotic process automation. The programme claims to provide placement assistance, industry exposure, and hands-on learning.
Whether the programme is good for you or not depends on your academic background, career goals, learning preferences, and budget.
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The eligibility criteria for PG Diploma at Manipal Global Academy of Data Science. According to the web search results, the eligibility criteria for this programme are as follows:
- You must have a bachelor’s degree of minimum 3 years’ duration from a recognised university, with minimum 50% marks or equivalent in aggregate.
- You must have a background in Statistics, Mathematics, or Computer Science, or qualify an online technical assessment test.
- You must pass a language aptitude test.
- You must pass an entrance test and a personal interview conducted by the Manipal Academy of Higher Education (MAHE).
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The highest package offered at Manipal Global Academy of Data Science is INR 12 LPA. This was for the graduates of the Postgraduate Program in Data Science, which is a full-time course offered in collaboration with Jigsaw Academy. The programme claims to provide guaranteed placement assistance, industry exposure, and hands-on learning.
Admissions at Manipal Global Academy of Data Science are entrance-based for the MSc in Data Science program, and merit-based for the Postgraduate Certificate Program in Data Science and Machine Learning. The entrance examination and/or personal interview are conducted by the Manipal Academy of Higher Education (MAHE). The merit of rank is prepared by using the grade obtained in Mathematics and/or Statistics and/or Computer Science in the qualifying examinations.
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