M. Sc. Data Science (in collaboration with LatentView Analytics)

PG Programme: M.Sc. Data Science (in collaboration with LatentView Analytics)


Merit Scholarships for PG Programmes

Duration of the Programme: 2yr

Start Period: Academic Year 2021-22

Eligibility:

  • (a) Candidates will be called for the counselling in the order of merit of their aggregate marks secured in their undergraduate degree programmes calculated upto pre-final semester. This is inclusive of Languages / EOP and all the subjects they have studied upto pre-final semester.
  • (b) Eligible candidates shall be called for counselling and the admission is decided based on
    • i) the marks in the qualifying examination
    • ii) SoP and online- personal interview
  • Undergraduate degrees such as B.A., B.Sc., B.Math., B.Stat., B.E., B.Tech. etc. with 60% marks, with a background in Mathematics or Statistics or Computer Science or Data Science

Application Process: Click here

 

About the Programme:

Many industry experts and popular business publications have attested that Data in the 21st Century is, like Oil in the 18th Century, the most valuable resource in the world. Hence, the smooth functionality of everything from the government to local companies depends on how we understand data, without which the progress would halt. For those who realize the fundamental value of Data and learn to extract and use it, there will be huge rewards in the current data-driven economy. Data science is a multidisciplinary field that involves the use of scientific methods, processes, and algorithms to extract insights from the large and ever-increasing volumes of data collected and created by today’s organizations. Data science drives a significant proportion of global economic activity and is influencing scientific progress across numerous fields. Therefore, this program is specifically designed to meet the needs of the industry in the areas of Data Science.

Our 2-year Master of Science (M.Sc.) in Data Science (in collaboration with LatentView Analytics) is an advanced degree programme designed to provide specialized training in analytical and computational Statistics that finds its applications everywhere ranging from healthcare, banking, to governance.

Our programme is designed to go beyond traditional teaching methodologies from teaching students to acquire fundamental knowledge of mathematics, statistics, and computer science to instill the interest to get introduced to the cutting-edge state of the art data science technologies and gain hands-on experience via active learning through lab embedded courses and mini-projects, Capstone Project, and Internship.

The course aims to help students develop statistical programming skills with a career prospect in the corporate. The two years M.Sc. Data Science (in collaboration with LatentView Analytics) degree programme helps students gain strong methodological foundations in analytical statistics, handle statistical consultations and learn the various techniques, skills, and use of tools.

Career Prospect:

According to Harvard Business Review, “Data Scientist is a high-ranking professional with the expertise and curiosity to make discoveries in the world of Big Data”. As the world is increasingly turning to data for decision making, and the amount of the data being generated is growing exponentially, there is a huge demand for Data Scientists not only in established companies but also in start-ups that work on cutting-edge technology-based products, as they rush to hire Data Scientists to tame their business-critical Big Data. In any organization, a data scientist does the model-driven analysis of its data, to help it to improve planning, increase productivity. Data scientists are needed to work at various levels of business decision-making, such as tactical, operational, and strategic levels, and to share insights with the business. Therefore, Data Scientists are coveted professionals in industries and sectors such as IT industries, Research institutions, Banking, and Financial sector, Educational sector, Consulting firms, Pharmaceutical companies, Automobile industries.

Fee

Tuition Fees (Per Annum)INR 1,50,000
Caution Deposit (Refundable)INR 3,000
Total fees to be paid for first yearINR 1,53,000

M.Sc. Data Science (in collaboration with LatentView Analytics) Merit Based Fee Structure

CategoryAcademic Fee
198,000
21,25,000
31,50,000

Testimonials:


Tathagat Banerjee
Data Engineer
Societe Generale
VIT-AP – 2021

As a data science enthusiast, linear algebra and statistics have been the founding pillars of Artificial Intelligence. When I began my journey with statistics in 2nd year in VIT AP, I started working with various state of the art R tools on different open source datasets like boston house datasets and many more. The course not only involves in-depth theoretical knowledge into various stats tests of population like Z and t but also heavy emphasis on practical and project based learning which is a great starting point into data science. After the Statistics course I was not only well versed with a new coding language (R), but also had a strong mathematical and statistical background in data science. It not only helped me in learning but also came in very handy during my interview process.


FAQs – M. Sc. Data Science (in collaboration with LatentView Analytics) programme

General Information :

1. Is there any hostel facility in VIT-AP?
Answer: Yes, VIT-AP provides highly secure and well-guarded hostel facility separately for boys and girls. For more details visit https://vitap.ac.in/hostels/
2. Is there any transportation facility for students?
Answer: Yes, VIT-AP provides bus transportation facility for the day scholar students. The buses are safe, secure, and driven by responsible personnel. Day scholars can avail the bus facility from Vijayawada, Guntur, and Tenali. For more details visit https://vitap.ac.in/transport/
3. Can I visit the campus to know more about the program and University?
Answer: Yes, you are welcome to visit the University to get to know more about the program and the University.
4. Where to look to know more information about the Program and the corresponding school?
Answer: Refer the School website: http://vitap.ac.in/school-of-advanced-sciences/

Program Information :

1. What is data Science?
Answer: Data Science is a multi- disciplinary field that uses scientific methods, processes, algorithms to produce knowledge & insights from structured & unstructured data. It utilises techniques & theories derived from many fields such as computer science, mathematics, statistics & information science to process and analyse large amount of data, and to present the results to reveal patterns and enable stakeholders to draw informed conclusions.
2. Why is it important to join this program?
Answer: The technological advances used to be mostly driven by improved hardware that increased processing power, but also impelled physical limitations, therefore, the focus has now been shifting to software-driven applications. Data, the oil of the digital economy as it is called, is expected fuel our future. With the increase of computing power and digital storage come many new possibilities that - just ten to fifteen years ago - were beyond our imagination. Such new developments led to an increased demand for Data Scientist not just in IT sector but also in sectors such as banking and finance, automotive, energy, healthcare, transport, retail, and virtually every domain you can think of. Data has already started driving business decisions - from small regional offices to the boardroom – and hence graduates from study programmes in Data Science will be directly involved in important strategic decision-making processes. The program is designed to create knowledge pool that can address the ever-growing demand and challenges for experts in this field.

Eligibility and Admissions:

1. What are the eligibility criteria for admission into this program?
Answer: Undergraduate degree in Mathematics/Statistics/Computer Science/Computer Applications/Data Science or UG Degree in Engineering or Technology in CSE/IT/ECE/EEE/E&I with a 60% of marks (Inclusive of all subjects).
2. When will the application process for admission to this program start?
Answer: The admission process has already started, for more details contact The Admissions Office, or refer https://vitap.ac.in/contact-us/
3. What is the closing date for issue of applications?
Answer: You may contact the VIT-AP University Admissions Office.
4. When and how can I apply?
Answer: The M. Sc Data Science program uses the online application for the VIT-AP University. Please refer to the University Website.

Choosing Courses :

1. What are the important courses offered in this program?
Answer: The curriculum is designed in such a way that graduating students will be industry ready. The study of data science is constituted with the knowledge of mathematics, statistics, and computer science. The proposed program specialization will help students acquire the knowledge about industry relevant skills on Mathematical modeling, statistical modeling, data science concepts, machine learning principles and algorithms and visualization techniques.
2. Does the curriculum provide industry internship or project-based learning opportunities?
Answer: The curriculum has scope for all the advanced teaching-learning methodologies such as application-oriented and project-based learning and industry internships.

Finances :

1. What is the fee structure for this program?
Answer: Contact Admissions Office, VIT-AP University.
2. Are there any scholarships provided?
Answer: VIT-AP University provides scholarships for meritorious students based on assessment.

Careers in Data Science :

1. What are the career opportunities for the graduates of this program?
Answer: This Inter-disciplinary program brings together a lot of skills required by Data Scientists with adequate domain knowledge to help any organization find ways to take major business decisions, reduce costs, get into new markets, launch a new product or service, find the sentiment of the customers, so on. The following industries/sectors would be the expected employers.
• IT industries
• Research institutions
• Banking sector
• Consulting firms
• Pharmaceutical companies
• Automobile industries and
• Finance
• Educational sector
2. Does VIT-AP offer Campus placement facilities?
Answer: VIT Provides centralized campus placements throughout all the VIT Campuses.

 

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