MIT-WPU

1. Eligibility Criteria: Make sure you meet the eligibility criteria for the programme you wish to apply for. This often includes having a relevant educational background.

2. Entrance Exams: Some programs may require you to take an entrance exam or participate in a design aptitude test. Performing well in these assessments can significantly enhance your chances of admission.

3. Portfolio: For design programs, having a strong portfolio showcasing your work can be crucial. This demonstrates your skills and creativity to the admission committee.

4. Interview Process: Some courses might involve an interview process where you can showcase your passion for design and discuss your portfolio.

5. Competition: The level of competition can vary from year to year. Researching past admission trends can give you an idea of how many applicants there are compared to available seats.

MIT School of Humanities, ADT University and Faculty of Liberal Arts, MIT WPU are both part of the same MIT Group, but they have different focuses and reputations:

MIT School of Humanities, ADT University: This is usually acknowledged for having a plethora of humanities programs especially with a focus on realism and research. It is quite useful for students involved in the humanities, although it seems to be less popular than the MIT WPU.

Faculty of Liberal Arts, MIT WPU: Deemed more acclaimed among the MIT Group and provides accredited B.A. in English programme with academic support along with sources of the applied field.

On the other hand, one might still assume that MIT WPU's Faculty of Liberal Arts would be a better option for a B.A. in English owing to brand value and a definitively sound setup.

For MIT-WPU Pune BSc admission candidates must have valid qualifications. The BSc qualification might vary slightly for the different specializations. Candidates can find below the BSc qualification for  different BSc specialisations

• BSc (Data Science & Big Data Analytics): The candidate should be an Indian Nationality. Passed Class 12 in Science stream with Mathematics /Statistics subject (OR) Three Years Engineering Diploma Recognized by Government Competent Authority (OR) Passed its equivalent examination with 55% aggregate (50% in case of candidates of backward class categories and Persons with Disability belonging to Maharashtra State only). 

• BSc (Computer Science): The candidate should be an Indian Nationality. Class 12 in Science stream with Mathematics subject (OR) Three Years Engineering Diploma Recognized by Government Competent Authority (OR) Passed its equivalent examination with 55% aggregate (50% in case of candidates of backward class categories and Persons with Disability belonging to Maharashtra State only).

Yes, there are seat reservations for  MIT-WPU Pune BSc course. The institute offers seat reservation for the candidates belonging to Maharashtra State and is only applicable  after the  fulfillment of the eligibility criteria specified by respective authorities from time to time. Candidates can find below the seat intake in percentage:

• Scheduled caste (SC) - 13%
• Scheduled Tribe (ST) - 7%
• Vimukta Jati / De Notified Tribes (VJ / DT /NT-A) - 3%
• Nomedic Tribes 1 (NT-B) - 2.5%
• Nomedic Tribes 2 (NT-C) - 3.5%
• Nomedic Tribes 3 (NT-D) - 2%
• Other Backward Class (OBC) - 19%

Note: Special Backward Class will be offered reservation up to 2% of intake subject to availability of vacant seat under backward class reservation quota.

MIT-WPU Puen BSc in Applied Statistics and Data Analytics is offered via the MIT-WPU School of Science & Environmental Studies. The course curriculum is offered in semester-wise which include a total of six semesters. Candidates can buid their careers in fields such as market research, data science, business analytics, or public policy analysis, where they apply their skills to solve real-world problems and make data-driven decisions. 

The subjects offered under the Applied Statistics and Data Analytics are:

•  Probability theory
• Statistical Inference
• Hypothesis Testing
• Financial Literacy
• Deep Learning/Demography
• Data Analysis for HRM/
  Statistical Computing Using R P
  Business Analytics