B.Sc. (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  0.5  25
102 FOUC MS Word  0.5  25
103 AECC EVS / MIL  2  50
104 GC Descriptive Statistics  6  100
105 GC Calculus & Differential Equations  6  100
106 GE Generic Elective - I  6  100
107 AUDC Analysis of movies from different countries  0  
108 AUDC Perspectives on Indian Constitution  0  
109 GICE Any one Course form the List approved by the BoS  0  


Course CodeCourse TypeCourse NameCredit ValueMarks
201 FOUC Soft Skills - II  0.5  25
202 FOUC MS Power Point  0.5  25
203 AECC English  2  50
204 GC Probability and Probability Distributions  6  100
205 GC Discrete Mathematics  6  100
206 GE Generic Elective - II  6  100
207 AUDC Reading the Classics - Book Review  0  
208 AUDC Current Affairs Seminar  0  
209 GICE Any one Course form the List approved by the BoS  0  


Course CodeCourse TypeCourse NameCredit ValueMarks
301 FOUC Magic language of numbers  0.5  25
302 FOUC MS Excel  0.5  25
303 AECC Demography and Vital Statistics  2  50
304 GC Sampling Distributions  6  100
305 GC Survey Sampling and Indian Official Statistics  6  100
306 GC Numerical Methods  6  100
307 GE Generic Elective - III  6  100
308 SECC SPSS  2  50
309 AUDC Ethical & Moral Debates in Indian Society  0  
310 AUDC Politics & Governance  0  
311 GICE Any one Course form the List approved by the BoS  0  


Course CodeCourse TypeCourse NameCredit ValueMarks
401 FOUC Basics of Data Interpretation  0.5  25
402 FOUC Google Ecosystem  0.5  25
403 AECC Research Methods  2  50
404 GC Statistical Inference  6  100
405 GC Linear Algebra  6  100
406 GC Statistical Quality Control  6  100
407 GE Generic Elective - IV  6  100
408 SECC Spreadsheet Applications - I  2  50
409 AUDC Leadership in Society - Past and Present  0  
410 AUDC Corporations, NGOs & Civil societies  0  
411 GICE Any one Course form the List approved by the BoS  0  


Course CodeCourse TypeCourse NameCredit ValueMarks
501 FOUC Technical Writing  0.5  25
502 FOUC E-Mail & Social Media Etiquettes  0.5  25
503 AECC Time series, Index Numbers and Forecasting  2  50
504 GC Stochastic Processes and Queuing Theory  6  100
505 GC Statistical Computing using C/C++ Programming  6  100
506 DSE Discipline Specific Elective - I  6  100
507 DSE Discipline Specific Elective - II  6  100
508 SECC Spreadsheet Applications-II  2  50
509 AUDC Design Thinking  0  
510 AUDC Critical Ideas of 20th Century  0  
511 GICE Any one Course form the List approved by the BoS  0  


Course CodeCourse TypeCourse NameCredit ValueMarks
601 FOUC Interview Techniques  0.5  25
602 FOUC Technology Clinic  0.5  25
603 AECC Data Mining & Data Science  2  50
604 GC Analysis & Design of Experiments  6  100
605 GC Multivariate Analysis  6  100
606 DSE Discipline Specific Elective - III  6  100
607 DSE Discipline Specific Elective - IV  6  100
608 SECC Field Study Report  2  50
609 AUDC Event Management  0  
610 AUDC Emerging Trends Seminar  0  
611 GICE Any one Course form the List approved by the BoS  0  

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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