| Course Name: | M.Sc. in Applied Statistics and Data Analytics |
| Course Institution: | Amrita Vishwa Vidyapeetham |
| Course Department: | School of Arts and Sciences |
| Course Duration: | 24 month(s) |
| Course Fee: | INR 440000 |
| Course Mode: | Full Time Regular Classroom |
| Course Location(country): | India |
| Course Location(city): | Coimbatore |
| Course Level: | Masters |
M.Sc. in Applied Statistics and Data Analytics by Amrita Vishwa Vidyapeetham is a full-time two-year program. This course is tailored for candidates who want to succeed in data analytics.
Why should you study M.Sc. in Applied Statistics and Data Analytics by Amrita Vishwa Vidyapeetham?
M.Sc. in Applied Statistics and Data Analytics by Amrita Vishwa Vidyapeetham offers a combination of statistical knowledge and data analytics. The curriculum involves cutting-edge topics like Big Data Analytics, Pattern Recognition, and Marketing Analytics for coping with large quantities of data from industry, healthcare, sensors, the Internet, polls, social media, astronomy, human space exploration and activities, and aeronautics.
Program outcomes
Some of the outcomes of this program are-
- Statistics and Data Analytics Knowledge: Grasp the basic concepts, core principles, and scientific methods relevant to Statistics and Data Analytics.
- Advanced theories and methods: Recognize advanced theories and methods in Data Science in order to design solutions for complex statistical techniques.
- Person and teamwork: Work efficiently as an individual and as a member or leader in mixed cultures and multidisciplinary environments.
Why choose Amrita Vishwa Vidyapeetham to pursue M.Sc. in Applied Statistics and Data Analytics?
Amrita Vishwa Vidyapeetham was established in Amritapuri, Kerala, in 2002. It provides over twenty services across three streams. The University offers undergraduate, graduate, and doctoral programs.
The Amritapuri campus is home to six colleges, each of –
- Arts & Sciences
- Biotechnology
- Ayurveda
- Business
- Engineering
- Philosophy, Arts & Culture
Having chosen Amrita Vishwa Vidyapeetham’s M.Sc. in Applied Statistics and Data Analytics would open up a world of possibilities in the Analytics and Statistics fields.
Curriculum
The curriculum for M.Sc. in Applied Statistics and Data Analytics by Amrita Vishwa Vidyapeetham splits into four semesters. Each of the semesters looks like this-
Duration
M.Sc. in Applied Statistics and Data Analytics by Amrita Vishwa Vidyapeetham is a full-time two-year program. Each year further splits into two semesters.
Fees
Two years of this program by Amrita Vishwa Vidyapeetham may cost you around INR 2.20 Lakhs.
Eligibility Requirements
To apply for M.Sc.in Applied Statistics and Data Analytics, you need to-
- Have a B. Sc. degree in Mathematics/ Statistics/ Computer Science
Or
- Have a B.Tech. degree in Computer Science
- Score a minimum of 60% marks.
How to Apply
You can apply for the M.Sc. program by Amrita Vishwa Vidyapeetham by following these steps-
- Click on this link.
- Register yourself. Log into your portal.
- Fill in the academic qualification and the personal details asked.
- Pay the application fees of INR 1,000.
- Submit the form.
Selection Process
The selection of the candidates is based on the marks they obtained in the qualifying examination and interview.
Career Opportunities
Statistics and Data Analytics are two very diverse fields in terms of career opportunities. Pursuing M.Sc. in Applied Statistics and Data Analytics will open many doors to a great career in the future. Some of the job profiles you can look forward to applying for in the future are as follows-
- Data Scientist
- Industrial Statistician
- Healthcare Data Analyst
- Operations Analyst
- Data Analytics Consultant
- Digital Marketing Manager
- Data Engineer
- Quantitative Analyst
- Statistician, etc.
Recruiters
Amrita Vishwa Vidyapeetham invites several companies for recruitment every year. Some of the regular companies to visit the campus are-
- IMB
- TATA Consultancy Services
- Bosch
- Infosys
- Microsoft
- ISRO
- Honeywell, etc.
