Students interested in advanced study, a research project in statistical science, and its use to solve real-world issues can consider the M.Sc. Statistics program at Vishwakarma University, Pune.
Data Science and analytics is a crucial component of this programme which makes sure that the students understand and are proficient in data science approaches for data collecting and analysis.
The course provides a great balance between theory and application and covers both conventional theory & methods and more contemporary statistical concepts. The skills needed to handle and interpret the ever-growingly complex data sets in use today in all branches of science will be mastered by the students.
Vishwakarma University offers a M.Sc. course combination of Core Statistics, Mathematics with specialization in Data Science with super specialization in Artificial Intelligence & Machine Learning (AI & ML) & Biostatistics in association with TCS-iON (IHP).
TCS iON- Industry Honour Program (IHP) is an academic-industry partnership between VU and TCS with the goals of fostering statistical thinking among students by familiarizing them with statistical methods and their applications in various fields, providing students with the necessary decision-making abilities by fostering their skills in data analysis, and helping students get ready for their professional career in the industry.
A variety of courses are available through the TCS iON Industry Honour Program(IHP) with the goal of increasing students' employability and developing seasoned freshmen for the market.
Together, academia and industry have devised and are delivering the programme. The curriculum is in line with legal requirements and offers frequent opportunities for contact with business professionals throughout the degree.
With assignments created by industry professionals and on-campus proctored assessments using the industry-leading TCS iON Assessment platform, IHP is primarily focused on experiential learning. In addition to one semester-long internship for the top 10% of students, it offers two internships to all students. After successfully completing the program, you will receive an industry-endorsed certificate.
1) Apply the rudimentary knowledge to provide statistical, mathematical and IT based solutions for data analysis..
2) Analyze the real world problem and identify the domain specific Design and develop the solid grounding in Statistics and Data Science tools.
3) Analyze, interpret and draw conclusions from quantitative and qualitative data from an open-minded and reasoned perspective.
3) Recognize the importance and value of mathematical and statistical thinking, training in different research fields related to AI & ML or Biostatistics.
4) Adopt the importance and value of mathematical and statistical thinking, training, and approach to problem-solving, in a diverse variety of disciplines from Data Science ,Biological Sciences and Healthcare.
5) Collaborate with other data science team members, such as data and business analysts, IT architects, data engineers, and application developers.
6) Adopt the importance and value of mathematical and statistical thinking, training for the design and development of IT-base.
7) Analyze and evaluate the local and global impact of the statistical based solution on individuals, organizations, and society.
8) Understand the impact of the professional statistical based solutions in societal and environmental contexts.
9) Follow ethical principles and commit to professional ethics.
10) Shoulder the responsibility in a diversified team as a member or leader.
11) Effectively communicate in their professional career.
12) Adopt the technical and management principles in the multidisciplinary environment to provide economically viable solutions..
13) Engage in independent and life-long learning in a professional career.
1) Academic structure supporting capability building and skill enhancement.
2) Varied specializations in Data Science with domain super specialization in Al & ML and Biostatistics.
3) Working and interacting constructively with others
4) Exposure to various software like R, Python, SAS (University Edition), Visualization tools and packages.
5) Corporate connect through TCS-iON (Industry honor program), internships, field studies and industry interaction opportunities
6) Industrial projects to analyze and interpret the data.
7) Pool of experienced faculty (in-house, visiting, adjunct).
8) Several industry connect initiatives.
Statistics is a field that involves collecting, analyzing, interpreting, and presenting data. It is a versatile field with a wide range of applications in various industries. Some of the career pathways after graduation in statistics are:
Data Analyst: Data analysts collect, analyze, and interpret large sets of data to help businesses make informed decisions. They use statistical methods and software to identify patterns and trends in data.
Actuary: Actuaries use statistical methods to analyze risk and uncertainty in various industries such as insurance, finance, and healthcare. They use data to help companies make financial decisions, such as setting insurance premiums and evaluating investment opportunities.
Statistician: Statisticians design experiments, surveys, and observational studies to collect data. They use statistical methods to analyze and interpret the data and to draw conclusions and make predictions.
Biostatistician: Biostatisticians work in the field of public health and medicine. They use statistical methods to analyze data related to diseases, medical treatments, and public health policies.
Market Research Analyst: Market research analysts collect and analyze data on consumer preferences and market trends. They use statistical methods to analyze data from surveys, focus groups, and other sources to help businesses understand consumer behavior and make informed decisions.
Quantitative Analyst: Quantitative analysts use statistical methods and mathematical models to analyze financial data and make predictions about market trends. They work in investment banks, hedge funds, and other financial institutions.
Operations Research Analyst: Operations research analysts use mathematical and statistical methods to help organizations improve efficiency and productivity. They analyze data and use optimization techniques to find solutions to complex problems in areas such as logistics, supply chain management, and scheduling.
Financial Consultant: A financial consultant is essentially the same as a financial advisor. They often offer a number of services, with their financial advice being based on the client’s specific needs and goals. In some cases, a financial consultant may have more financial planning experience than the typical financial advisor. Financial consultants usually provide investment services as well, though.
Analytics Programmers : Analytic programming combines statistical processes and programming to identify meaningful patterns in data as well as construct useful models.
Analytics managers: Analytics managers transform raw data into business insights that are useful for decision making and strategic planning. They leverage their in-depth industry knowledge to draw relevant insights and utilize complex statistical models and algorithms to deliver strategies for effective data analysis.
One can work as a specialist officer, statistician, etc. at public sector banks like SBI, PNB, and other banks like the Reserve Bank of India. Working with reputable national and international firms like Mu Sigma, Fractal Analytics, Manthan, Latent View, etc. as data analysts or data scientists Investigate Biostatistician Jobs at Several Pharmaceutical Firms, including Cipla, Zydus Cadila, Sun Pharmaceutical Industries, and Many More. can work for government organizations like the Indian Space Research Organization and the Defence Research and Development Organization (DRDO) as research scientists.Consider careers as a research associate, research assistant, professor, or in government, semi-government, and private enterprises. can consider a job with governmental organizations as the Central Statistics Office (CSO), National Sample Survey Office (NSSO), etc. In the industrial industry, consider a job as a reliability engineer or data analyst
Companies requiring Statistical assistance:
Private Sector Companies: SAS, SCYFORMIX, HCL, TCS, NOVARTIS, PFIZER, Wockhardt, IBM, HDFC, GE Capital, Neilsen, Bajaj Finserv, Cognizant, J.P. Morgan, etc.
Public Sector Companies : LIC, National Sample Organization (NSO), Central Statistical organization (CSO) , Indian Statistical Service, Statistical officer( RBI), etc.
Overall, there are many career pathways available for graduates in statistics, and the demand for statisticians is expected to grow in various industries.
“Varied initiatives and activities in addition to academics conducted throughout the year are preparing me for practical integrities of the business world. Vishwakarma University relentlessly tries to imbibe the culture, values, and ethics into the students. I am considering myself lucky to be a part of Vishwakarma University.” -Manjeera aga Pragada, ( 2019-2021 Batch)
“I am very thankful to Vishwakarma University for providing us with a very valuable education during this pandemic period. VOLP(Vishwakarma Online Learning Platform) is easy to handle as well as an efficient app for students to receive online education This course is very unique in the form that it blends both Statistics as well as Computer Science to make students industry ready Data Professionals. Equilibrium of theory and practicals makes each course taken very interesting as well as effective. Placement training sessions are regularly conducted and involve all aspects of interview preparation. Teachers here are friendly and approachable for any sort of issues. Students are always motivated to participate in various competitions and seminars”- Omkar Patil MSc. Statistics ( 2019-2021 Batch)
College is a phase when we start thinking about what we want to do and the thing we are doing now is actually the best path for us or not. We start exploring many things, sometimes even learning at the professional level too.Our course curriculum and faculty members are good they try their best for students to explain the concepts.They look after the problems of students.Not only exams are held every month but also many more activities so, students have to study.
You also have an incredible set of friends. You meet thousands of people belonging to various backgrounds."It's indeed a beautiful and unique experience where you grow, compete and sometimes even emerge victoriously.-Nikita Gate, F.Y.M.Sc.(2022-2024 Batch)
As a final year MSc Statistics student at Vishwakarma University, I have had an exceptional experience. The research environment is remarkable and the faculty members are extremely supportive, always willing to help and answer questions. I appreciate the range of events that are organized such as seminars, workshops, and conferences that have been helpful in keeping me informed about the latest industry trends and have also provided opportunities for networking. Overall, I would highly recommend Vishwakarma University to anyone looking for quality education in the field of statistics. -Neha Pathan, S.Y.M.Sc.(2021-23 Batch)
1)Mr. Raj V. Pandey-B.Sc. Statistics (2020-2023) has presented a conference paper organized by School of Business and Management, Christ (Deemed University), Bangalore, July 2022.
2) Mr. Bhargav Kishor Choudhari-B.Sc. Statistics (2020-2023) has qualify a paper (CM1) in Actuarial Science.
3) Ms. Sanjeevani Singh-B.Sc. Statistics (2020-2023) has successfully completed an internship program Data Science with Python.
4) Ms. Carelin Christopher – M.Sc. Statistics(Batch 2020-22) completed a 6 months dissertation program at the Department of Biostatistics and Data Management at ICMR-NIOH, Ahmedabad.
5)Mr. Omkar Patil , Miss. Raje Tejasvi and Miss. Pragada Naga Manjeera from M.Sc. Statistics(Batch 2019-21) secured third position in National level project competition organized by ISPS, India in 2021.
Dr. Mahfooz Alam has successfully completed Ph.D. in Statistics from Aligarh Muslim University, Aligarh in Dec 2021.
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A) B. Sc. with Statistics principal and Mathematics at subsidiary level. Or
B) B. Sc. with Mathematics principal and Statistics at subsidiary |level. Or
C) B. Sc. in Actuarial Science with Mathematics and Statistics at subsidiary level. Or
D) B. Sc. with three subjects at third year with Statistics / Mathematics as one of the subjects.
E) B.C.A. with Statistics / Mathematics as one of the subjects.
F) B. Com. with Statistics / Mathematics as one of the subjects.
G) B.E./ BTech. with Statistics / Mathematics as one of the subjects at subsidiary level.
H) B.Sc. (Life Sciences/ Zoology/ Botany /Chemistry).
As applicable for UG / PG Programme
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