Advanced Statistics and Data Analytics has become an essential field in the modern world due to the rapid growth of data across various sectors such as business, healthcare, education, finance, and technology. Organizations and researchers increasingly rely on statistical methods and analytical tools to extract meaningful insights from large and complex datasets for effective decision-making. This course provides a comprehensive understanding of advanced statistical techniques, data interpretation methods, and modern analytical approaches used in real-world applications. By integrating theoretical concepts with practical applications, the course enables learners to develop critical thinking, research aptitude, and evidence-based decision-making skills. It prepares students for academic research as well as professional careers in data science, business analytics, statistical consulting, finance, marketing, and other data-intensive domains.

OBJECTIVES

M.Sc. Applied Statistics And Data Analytics is designed with an objective to encourage and support the growing demands and challenging trends in the educational scenario. Our training focuses on all-round development of the students to face the competitive world. The main objectives of the course are :

• To understand the scope and significance of the discipline.
• To bridge the gap between theoretical statistics and practical data analytics by equipping learners with the knowledge and skills required to analyze, visualize, and interpret data efficiently.
• To develop a strong understanding of advanced statistical theories and analytical techniques.
• To enable students to apply statistical methods for solving real-world problems and decision-making.
• To develop the ability to interpret, summarize, and communicate analytical results effectively.
• To introduce predictive modeling, machine learning concepts, and modern data analytics techniques.
• To enhance critical thinking and research skills through statistical inference and hypothesis testing.
• To familiarize learners with multivariate analysis, regression models, time series analysis, and forecasting methods.
• To equip students with skills for handling big data and business analytics applications.
• To develop practical knowledge in computer programming and statistical softwares like SPSS, SAS, and python related to Applied Statistics and Data Analytics.
• To gain competency in the preparation of national level tests such as CSIR/UGC NET and GATE.
• To develop interest in research.
• To encourage ethical and responsible use of data in research and industry applications.

STRUCTURE OF M.SC APPLIED STATISTICS AND DATA ANALYTICS

The programme shall include two types of courses, Core courses and Elective courses. There shall also be a Project and Comprehensive Viva Voce as core courses. The programme also includes assignment/ seminar/ Class tests etc. The total credit for the programme is fixed at 80.

THEORY COURSES:

There are twenty courses out of which eighteen are theory papers, spread equally in all four semesters in the M.Sc. Programme. Distribution of courses is as follows. There are seventeen core courses common to all students. Semester I, Semester II and Semester III will have five core courses each and Semester IV will have two core courses and three elective courses. The three elective courses can be chosen as per the interest of the students, availability of faculty and academic infrastructure.

PRACTICAL

There are two practical papers that appear in the even semesters, Semester II and Semester IV.

PROJECT

The project of the PG program should be relevant and innovative in nature. The type of project can be decided by the student and the guide (a faculty of the department or other department/ college/ university/ institution). The project work should be taken up seriously by the student and the guide. The project should be aimed to motivate the inquisitive and research aptitude of the students. The students may be encouraged to present the results of the project in seminars/symposia. The conduct of the project may be started at the beginning of Semester III, with its evaluation scheduled at the end of Semester IV. The project is evaluated by one external and one internal examiners.

COMPREHENSIVE VIVA VOCE

A viva voce examination will be conducted by one external examiner and one internal examiner at the time of evaluation of the project. The components of viva consists of subject of special interest, fundamental concepts, topics covering all semesters and awareness of current and advanced topics.

CORE COURSES

 ELECTIVE COURSES