B.Sc. (Hons) Statistics

Programme Highlights


  • Masters in Statistics followed by a Doctorate in Statistics
  • Career in Armed Forces, Civil Services, Banks, Government Sector and Research
  • Career opportunities as a Statistician, Risk Analyst, Quality Analyst, Investigator, Environmental Scientist, Reliability Analyst, Statistical Consultant, Project Manager and an Economist
  • Become employable in a wide variety of fields such as Management Science, Bio-Informatics, Technology, Bio-Statistics, Data Mining, Data Warehousing, Health, Insurance, Finance and Agriculture
  • Become employable in International Software firms, KPOs and Data Analytics companies as Business Analysts and Data Scientists


  • Foundation Courses - 12
  • Ability Enhancement Courses -6
  • Skill Enhancement Courses - 4
  • Generic Core Courses - 14
  • Generic Elective Courses - 4
  • Discipline Elective Courses - 4
  • Dissertation - 1
  • Audit - 12
  • General Interest - 6


  • 3 Years – 6 Semesters – Full Time
  • Choice Based Credit System (CBCS)
  • Outcome Based Education (OBE)
  • 10 Point Credit and Grading system


  • Curriculum that has a combination of core courses and elective courses, all designed from a knowledge and skill perspective.
  • Academic autonomy addressing emergent talent needs of the Digital, Knowledge, Service and Manufacturing economy.
  • Mix of contemporary teaching pedagogies.
  • Integrated ecosystem comprising academics, industry connect, placements, holistic development, research and consultancy
  • Employability enhancement modules


“A judicious man uses statistics not to get knowledge, but to save himself from having ignorance foisted upon him.” - Faculty / Quote by educationist


Consumers are statistics; customers are people

Statistics is a discipline that is fundamental in decision making and policy formulation. It’s descriptive and inferential roles not only formulate the basis of growth for almost all disciplines of the contemporary world, but also provide an array of non-traditional employment avenues ranging from that of sport-analysts to business analysts. The BSc. Statistics Programme focuses on statistical science and its application to real problems. The thrust of this programme is to prepare students to enter into a promising professional life even after graduation, as also provide to them a platform for pursuing higher studies leading to post-graduate or doctoral degrees. During the programme, Statistical packages will be used to reinforce students’ theoretical and practical skills. Graduates may apply the knowledge gained in production industry, financial, medical and agriculture sectors.

PEO1 : Prepare graduates for careers in, but not limited to - the financial, health, agriculture, government, business, telecommunication and bio-statistics industry

PEO2 : Familiarize students with computational techniques and software typically used in the statistical arena

PEO3 : Provide a good grounding in the best practice of collating and disseminating information

PEO4 : Prepare students to undertake further study at the post graduate level

PEO5 : Teach students to construct practical statistical models for several processes in the real-world

At the end of the programme the learner will be able to

PO1 : Integrate knowledge, skill and attitude that will sustain an environment of learning and creativity

PO2 : Develop an understanding of various statistical tools, techniques and software

PO3 : Apply critical and contextual approaches across wide variety of subject matter

PO4 : Develop logical thinking to comprehend key facts leading to formulation of the solution process

PO5 : Develop self-confidence and awareness of general issues prevailing in the society


Course CodeCourse TypeCourse NameCredit ValueMarks
101 FOUC Soft Skills - I    
102 FOUC MS Word    
103 AECC EVS / MIL    
104 GC Descriptive Statistics    
105 GC Calculus & Differential Equations    
106 GE Generic Elective - I    
107 AUDC Analysis of movies from different countries    
108 AUDC Perspectives on Indian Constitution    
109 GICE Any one Course form the List approved by the BoS    


Course CodeCourse TypeCourse NameCredit ValueMarks
201 FOUC Soft Skills - II    
202 FOUC MS Power Point    
203 AECC English    
204 GC Probability and Probability Distributions    
205 GC Discrete Mathematics    
206 GE Generic Elective - II    
207 AUDC Reading the Classics - Book Review    
208 AUDC Current Affairs Seminar    
209 GICE Any one Course form the List approved by the BoS    


Course CodeCourse TypeCourse NameCredit ValueMarks
301 FOUC Magic language of numbers    
302 FOUC MS Excel    
303 AECC Demography and Vital Statistics    
304 GC Sampling Distributions    
305 GC Survey Sampling and Indian Official Statistics    
306 GC Numerical Methods    
307 GE Generic Elective - III    
308 SECC SPSS    
309 AUDC Ethical & Moral Debates in Indian Society    
310 AUDC Politics & Governance    
311 GICE Any one Course form the List approved by the BoS    


Course CodeCourse TypeCourse NameCredit ValueMarks
401 FOUC Basics of Data Interpretation    
402 FOUC Google Ecosystem    
403 AECC Research Methods    
404 GC Statistical Inference    
405 GC Linear Algebra    
406 GC Statistical Quality Control    
407 GE Generic Elective - IV    
408 SECC Spreadsheet Applications - I    
409 AUDC Leadership in Society - Past and Present    
410 AUDC Corporations, NGOs & Civil societies    
411 GICE Any one Course form the List approved by the BoS    


Course CodeCourse TypeCourse NameCredit ValueMarks
501 FOUC Technical Writing    
502 FOUC E-Mail & Social Media Etiquettes    
503 AECC Time series, Index Numbers and Forecasting    
504 GC Stochastic Processes and Queuing Theory    
505 GC Statistical Computing using C/C++ Programming    
506 DSE Discipline Specific Elective - I    
507 DSE Discipline Specific Elective - II    
508 SECC Spreadsheet Applications-II    
509 AUDC Design Thinking    
510 AUDC Critical Ideas of 20th Century    
511 GICE Any one Course form the List approved by the BoS    


Course CodeCourse TypeCourse NameCredit ValueMarks
601 FOUC Interview Techniques    
602 FOUC Technology Clinic    
603 AECC Data Mining & Data Science    
604 GC Analysis & Design of Experiments    
605 GC Multivariate Analysis    
606 DSE Discipline Specific Elective - III    
607 DSE Discipline Specific Elective - IV    
608 SECC Field Study Report    
609 AUDC Event Management    
610 AUDC Emerging Trends Seminar    
611 GICE Any one Course form the List approved by the BoS    

Generic Electives

Course CodeGE TrackCourse NameCredit ValueMarks
106-A GE Track-I Macro Economics  6 100
206-A GE Track-I Micro Economics  6 100
307-A GE Track-I Financial Economics  6 100
407-A GE Track-I Fundamentals of Cyber Security  6 100
106-B GE Track-II Fundamentals of Accounting  6 100
206-B GE Track-II Fundamentals of Life Insurance  6 100
307-B GE Track-II Fundamentals of Marketing Research  6 100
407-B GE Track-II Fundamentals of Banking  6 100
106-C GE Track-III Foreign Language- I  6 100
206-C GE Track-III Foreign Language- II  6 100
307-C GE Track-III Foreign Language- III  6 100
407-C GE Track-III Foreign Language- IV  6 100

Discipline Specific Electives

Course CodeGE TrackCourse NameCredit ValueMarks
506-A DSE Track-I Econometrics  6 100
507-A DSE Track-I Optimisation Techniques  6 100
606-A DSE Track-I Machine Learning  6 100
607-A DSE Track-I Dissertation  6 100
506-B DSE Track-II Actuarial Statistics  6 100
507-B DSE Track-II Survival Analysis and Biostatistics  6 100
606-B DSE Track-II Risk Management  6 100
607-B DSE Track-II Dissertation  6 100
506-C DSE Track-III Marketing Analytics  6 100
507-C DSE Track-III Risk Analytics  6 100
606-C DSE Track-III Visual Analytics  6 100
607-C DSE Track-III Dissertation  6 100
506-D DSE Track-IV Computer Fundamentals  6 100
507-D DSE Track-IV R Programming  6 100
606-D DSE Track-IV Data Base Management Systems  6 100
607-D DSE Track-IV Dissertation  6 100

General Interest Courses

  1. General Interest Courses are audit courses.
  2. These are compulsory courses and do not carry any grades / marks.
  3. Learners shall be evaluated as “Satisfactory” (S) or “Non-Satisfactory” (NS).
  4. Learners shall complete one General Interest Course per semester.
  5. The guidelines for General Interest Courses shall be announced by the Board of Studies before the commencement of each semester.
  6. For further details Learners should contact the Programme Coordinator.

Foreign Language Courses

  1. Learners shall choose any ONE foreign language as their Generic Elective Course.
  2. Learners shall continue with the same foreign language throughout the duration of the programme.
  3. Generally the following foreign languages shall be offered, subject to stipulated minimum number of enrollments per language.
  4. List of Foreign Languages: German Spanish French Chinese Japanese

GA1 : Deep knowledge of Statistics

GA2 : Statistical, Computational, Analytical and Presentational skills

GA3 : Independent, Logical and Critical thinking

GA4 : Effective and Confident Communication

GA5 : Ethical and Social Awareness

The method of instruction (pedagogy or teaching-learning processes) shall be determined by the requirements of a course, the learning objectives, learning outcomes & the learner’s context. However, the following methods of instruction shall be commonly used: Lecture Sessions, Practical, Simulations, Field Work, Group Exercises, Massive Open Online Courses, Projects, Self-Learning Materials (SLMs), Self-study, Seminars, Study Tours, Training Programmes, Workshops.

During the elective courses students are encouraged to take up live projects in an industry to align their theoretical knowledge and its application. For example, a data analytics project can be opted in lieu of a GE course or a project/dissertation can be opted in lieu of a DSE course. Industry based live projects allow students to gain valuable work experience while they’re still studying in college. They pave way for self-empowerment through skill building and hands-on-training.

1. 158 credits to be earned

2. All audit courses to be completed with ‘S’ (Satisfactory) grade

3. Minimum CGPA 4.0

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