M.Sc Data Science and Business Analysis

Overview of the Program

The Department of Computer Application was established in the year 2001 with the objective of imparting quality education in the field of Computer Applications. The Department has started M.Sc. Data Science and Business Analysis program in the year of 2018. The department has modern facilities for teaching, learning, and research. The Department offers a wide array of research opportunities and programs of study at the postgraduate level. M.Sc. DSBA and the syllabi for these courses are designed by keeping under consideration the requirement of time as well as the demand of the IT industry. With rapidly evolving technology and the continuous need for innovation, the Department of Computer Applications has produced quality professionals holding important positions in the IT industry in India and abroad. Students from both undergraduate and postgraduate courses have been able to secure a place in the IT market even before the completion of their final examination, which gives an idea of strong placement in this department. There are a plethora of companies, which visit the department every year for the recruitment of students, like TCS, Accenture, Infosys, IBM, MindTree, HCL, Info system, NIC, WIPRO, and many more.

The battle for high-quality jobs is getting tougher in this competitive world, so it’s more important than ever to have the best qualifications possible for better career opportunities. Studying for an MSc forsake, won’t be enough by itself to get into the commendable level, but it could be extremely rewarding in other ways if one plans better. Masters in the cross-level program from under graduation would widen the scope of career opportunity in this competitive world with a higher quotient in selection for both fields.

Upgrading one’s qualifications and getting an M.Sc. is a brilliant way to prove to the potential and sustainable employers that one has what it takes to work in a high-profile position. Not only does it demonstrate the potential candidate can handle additional responsibility, but it also suggests that added value and asset to the organization. That is the reason, why many of the senior managers at leading companies tend to have a master’s degree. Master in Business Analytics will prove the quality of a candidate in this “Data Era”.

Career? Or Job? Both the terms are actionably seeming to be related but not for sustainable development and goal achievement. Career meant for the long term, futuristic and sustainable. Job doesn’t. Choosing a career after university education is a deciding factor for one’s living standards. In this current situation, in a heavily populated country like India, getting employment is a bigger challenge. Making better decisions about career plans is the primary achievement, as career plans enhance one’s future value. After globalization, career evangelists come up with a new era called the “Data Era”, as from the last two years of data generation is approximately equal to the data generated in past all years. Hence, every industry dumped with 4V’s of data – Volume, Velocity, Variety, and Veracity, and they need to be analyzed for the better nurturement of business with meaningful insights.

Irrespective of any business domain, industries are in dire need of analyzing their huge volume of data in a proper way to come up with new insights which will help them in revenue generation and business development. There is a huge dearth of resource person on analyzing the data and bringing with new ideas in parallel and vertical development of their business.

Business Analytics refers to the skills, technologies, practices that are applied to past data and/or processes to derive insights that can be used for future business planning. It is a field that is now applied across all domains and industries.

The comprehensive Business Analytics curriculum provides a framework through which participants learn to enhance their management skills, expand their knowledge of Business Analytics, and gain a strategic perspective of the industry. Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments can use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. For example, Capital One uses sophisticated analytic capabilities to match credit card offerings to customers more accurately than their competition. Walmart uses analytics to monitor and update its inventory in a way that allows it to serve its customers at an exceptionally low cost. The program’s courses and the final project are designed around the real-world integration of business disciplines. Apart from these courses, there are preparatory courses that will have to be completed before the program begins.

Some of the important positions of Business Analyst Professionals in an organization are as follows:

  • Business Analyst
  • Associate Business Analyst
  • Statistician
  • Data Architect
  • Junior Statistician
  • Market Research Analyst
  • Data Analytics Manager
  • Health Care Analyst

Salient features:

  • This program offers a Business Analytics specialization focused on pre-processing, Storing, and analytics of data for the business environments.
  • The Program is designed to impart strong knowledge of R programming and Python fundamentals, Business Management Concepts followed by conceptual and practical knowledge of Data Science Techniques and Big Data Analytics.
  • The Program offers a unique value proposition by combining the important subject areas in each of these new-age fields of study for the Analyst industry.
  • The program offers a wide range of technical and programming skill sets that complement the specialization subjects on Business Analytics.
  • This program is primarily aimed at offering students flexibility in making their career choices in Business Management, Project Management, Data Management, Data Analytics, and Data Visualisation.
  • The program ignites a spark of interest in widening their knowledge on business analytics techniques in different business domains.

PEO, PO & PSO

DepartmentProgram Educational Objectives (PEO)

PEO1 Graduates of this program will establish themselves as effective professionals by learning technical skills in the Business Analytics field and can pursue higher education by accruing knowledge and research.
PEO2 To apply hardware and software technologies that provide computing solutions for successful careers in industry/higher education/research.
PEO3 To apply hardware and software technologies that provide computing solutions for successful careers in industry/higher education/research.
PEO4 To set the foundation of mathematics, computer science, and problem-solving methodology for efficient implementation in the area of software services and developments.
PEO5 To apply hardware and software technologies that provide computing solutions for successful careers in industry/higher education/research.
PEO6 To adopt lifelong learning and act with Integrity requires engaging with commitment towards social responsibilities.
PEO7 To learn and explore how visualization makes decision-makers understand the business quickly and making rightful decisions.

Department Program Specific Outcome (PSO):

By the completion of the Data Science and Business Analysis program, the student will have the following Program specific outcomes.

PSO1: To Understand the difference between a continuous class label and discrete class label classification methods and to Predict the continuous class variable using linear regression analysis.

PSO2: To Analyze the various techniques/types of Execution Types in Apache Pig and Understand the concept of different types of tables in Apache Hive.

PSO3: To apply appropriate management techniques for managing contemporary organizations.

PSO4: To Know elementary to advanced statistical methods in a Python Programming environment.

PSO5: To Understand the important difference between business performance management and business intelligence.

PSO6: To Learn the different business intelligence types, and the importance of report creation and dashboard design.

PSO7: To Apply and design suitable Virtualization concepts, Cloud Resource Management, and design scheduling algorithms and design scheduling algorithms for computing clouds.

PSO8: To Create and configure the compute, storage, and database services in the cloud which helps them to work with analytic services.

Department Program Outcome (PO):

By the completion of the Data Science and Business Analysis program, the student will have the following Program specific outcomes.

PO1 To plan, execute, and evaluate a computer-based system, process, component, or program to meet the requirements.
PO2 To demonstrate the ability of professionalism in societal, environmental contexts, and discipline as individuals as well as in a team.
PO3 To use research-based knowledge and research methods which include the design of the analysis, interpretation of data, synthesis of the information to provide valid conclusions.
PO4 Continuous professional development through life-long learning.
PO5 To design, formulate, and develop solutions to real-world challenges.
PO6 Apply the understanding of computing principles to manage projects in multidisciplinary environments.
PO7 Expertise in developing applications with required domain knowledge.
PO8 Development of absolute written and verbal communication skills.
PO9 To become entrepreneurs to apply the concept of computer applications to face the business challenges societal needs.

Department Course Outcomes (CO):

  • Understand the fundamental concepts of data communications and networking
  • Identify different components and their respective roles in a computer communication system.
  • Apply the knowledge, concepts, and terms related to data communication and networking.
  • know the strategies for securing network applications.
  • The usefulness and importance of computer communication in today’s life and society.

Click Here to Download Course Outcome

Curriculum Structure

S.No

Sem

Part

Type

Subject

Credit

Hour

Int

Ext

Total
1 1 III Theory Business Fundamentals – 1 3 3 40 60 100
2 1 III Theory Business Statistics and Probability 3 3 40 60 100
3 1 III Theory Operating System 3 3 40 60 100
4 1 III Theory R Programming Language 3 4 40 60 100
5 1 III Theory Business Economics 3 3 40 60 100
6 1 III Theory Database Management System 3 4 40 60 100
7 1 III Practical R Programming Language Lab 4 5 40 60 100
8 1 III Practical Database Management System Lab 4 5 40 60 100
1 2 III Theory Big Data Analytics 3 3 40 60 100
2 2 III Theory Machine Learning 3 3 40 60 100
3 2 III Theory Analytics using Excel 3 3 40 60 100
4 2 III Theory Python Programming 3 3 40 60 100
5 2 III Theory Data Mining Techniques 3 3 40 60 100
6 2 III Theory Business Fundamentals – II 3 3 40 60 100
7 2 III Practical Big Data Analytics Lab 4 4 40 60 100
8 2 III Practical Python Programming Lab 4 4 40 60 100
9 2 III Practical Analytics using Excel Lab 4 4 40 60 100
1 3 III Theory Market Research and Analytics 3 3 40 60 100
2 3 III Theory Exploratory Data Analysis 3 4 40 60 100
3 3 III Theory Elective I 3 3 40 60 100
4 3 III Theory Elective II 3 3 40 60 100
5 3 III Theory Financial Econometrics 3 3 40 60 100
6 3 III Theory Operations Research 3 4 40 60 100
7 3 III Practical Market Research and Analytics Seminar 4 5 40 60 100
8 3 III Practical Financial Econometrics Lab 4 5 40 60 100
1 4 III Theory Project Management 3 4 40 60 100
2 4 III Theory Elective III 3 4 40 60 100
3 4 III Theory Business Intelligence 3 3 40 60 100
4 4 III Theory Major Project / Internship 10 15 40 60 500
5 4 III Practical Business Intelligence Lab 4 4 40 60 100
105 120 1200  1800 3400

Career Opportunities

Areas of Placement opportunity
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  • Data Scientist,
  • Data Analyst,
  • Data Engineer
  • Product Analyst
  • Business Analyst and
  • Machine Learning Engineer

Entrepreneur opportunity / about alumni entrepreneur

Now, with data being the key criteria, the Indian society has been witnessing the rise of numerous startups which are engrossed in crunching data to develop robust data-driven models such that a proper analysis of the issue can be undertaken to formulate smart solutions. Hence, data science becomes a smart part of today’s smart entrepreneurship. Because as an entrepreneur you will have to do many other things (sales, manage people, raise capital, negotiate supplies, etc).

  • Higher Education opportunities (Research / Analyst )
  • PG Program – Data Science & Business Analytics
  • Data Scientist Engineer
  • Data Scientist
  • Data Scientist / Applied Mathematician
  • Education Research and Data Analyst
  • Statistician (Data Scientist)