M.Sc. (Statistics- Data Science)

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. 

• 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.
• 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.

Programme Outcomes

• Apply the rudimentary knowledge to provide statistical, mathematical and IT based solutions for data analysis..
• Analyze the real world problem and identify the domain specific Design and develop the solid grounding in Statistics and Data Science tools.
• Analyze, interpret and draw conclusions from quantitative and qualitative data from an open-minded and reasoned perspective.
• Recognize the importance and value of mathematical and statistical thinking, training in different research fields related to AI & ML or Biostatistics.
• 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.
• Collaborate with other data science team members, such as data and business analysts, IT architects, data engineers, and application developers.
• Adopt the importance and value of mathematical and statistical thinking, training for the design and development of IT-base.
• Analyze and evaluate the local and global impact of the statistical based solution on individuals, organizations, and society.
• Understand the impact of the professional statistical based solutions in societal and environmental contexts.
• Follow ethical principles and commit to professional ethics.
• Shoulder the responsibility in a diversified team as a member or leader.
• Effectively communicate in their professional career.
• Adopt the technical and management principles in the multidisciplinary environment to provide economically viable solutions..
• Engage in independent and life-long learning in a professional career.

Key Features

• Academic structure supporting capability building and skill enhancement.
• Varied specializations in Data Science with domain super specialization in Al & ML and  Biostatistics.
• Working and interacting constructively with others
• Exposure to various software like R, Python, SAS (University Edition), Visualization tools and packages.
• Corporate connect through TCS-iON (Industry honor program), internships, field studies and industry interaction opportunities
• Industrial projects to analyze and interpret the data.
• Pool of experienced faculty (in-house, visiting, adjunct).
• Several industry connect initiatives.

Career Pathways

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