B.Sc. Mathematics with Statistics
From data science to finance — a degree built for the analytical minds of tomorrow.
B.Sc. Mathematics with Statistics
B.Sc Mathematics with Statistics is a dynamic undergraduate programme designed to build strong foundations in mathematical theory, statistical analysis, and data interpretation. The course integrates pure mathematics with applied statistics to prepare students for careers in data science, research, finance, and analytics.
The programme follows NEP 2020 guidelines with flexible exit options, multidisciplinary learning, and research opportunities in the final year.
Key Features of the Programme
| Multidisciplinary Learning | Skill Enhancement | Internship Opportunity | Research Component |
|---|---|---|---|
| Students study courses from different domains including science, humanities, and technology. | Data analysis, statistical tools, and problem-solving techniques. | Mandatory internship between the 4th and 5th semester, providing industry exposure and practical learning. | Final year research project, guided by faculty and evaluated externally. |
Skills You Will Gain
- Analytical and logical thinking
- Creative and academic writing
- Mathematical modelling
- Statistical data analysis
- Programming & data tools (R, Python basics)
- Research and problem-solving skills
Career Opportunities
- Data Analyst
- Statistician
- Actuarial Analyst
- Financial Analyst
- Research Scientist
- Government Jobs / Competitive Exams
Higher Education Options
- M.Sc Mathematics / Statistics
- Data Science / AI
- MBA
- Actuarial Science
- Ph.D / Research
Course Structure – Semester Wise
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English Literature – I
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Communicative English
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English for Competitive Exams
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Spoken English
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Environmental Studies
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English Literature – II
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Academic Writing Skills
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Professional Communication
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Functional English
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Creative Writing
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History of English Literature
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Literary Forms & Movements
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Literature & Visual Media
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Content Writing
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English Language Studies
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American Literature
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Indian Writing in English
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Literature & Environment
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Internship
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Literary Criticism
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Shakespeare
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Indian Writing in English – II
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Internship
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New Literatures
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Linguistics
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Modern Poetry
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Modern Drama
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Modern Fiction
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Literary Criticism – II
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American Literature – II
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Translation Studies
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Postcolonial Literature
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Gender Studies
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Comparative Literature
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Research Methodology
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Project / Dissertatio
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Cultural Stud
| Semester I | Semester II | Semester III | Semester IV | Semester V | Semester VI | Semester VII | Semester VIII |
|---|---|---|---|---|---|---|---|
| Major Discipline Course – I | Major Discipline Course – II | Major Discipline Courses – III & IV | Major Discipline Courses – V, VI & VII | Major Discipline Courses – V, VI & VII | Major Discipline Courses – XI, XII, XIII, XIV | Major Discipline Courses – XV, XVI, XVII | Major Discipline Courses – XVIII, XIX |
| Minor Discipline Course – I | Minor Discipline Course – II | Minor Discipline Course – III | Minor Discipline Course – IV | Minor Discipline Course – V | Minor Discipline Course – VI | Minor Discipline Courses – VII & VIII | Research Project / Dissertation (12 Credits) |
| Multidisciplinary Course – I (Natural Sciences) | Multidisciplinary Course – II (Physical Sciences) | Multidisciplinary Course – III (Humanities Basics) | Ability Enhancement Course – IV (Indian Language) | Internship (60 Days – 4 Credits) | Viva / Presentation | ||
| Ability Enhancement Course – I (English / Communication) | Ability Enhancement Course – II (Language Course) | Ability Enhancement Course – III (Indian Language) | Community Engagement Project (15 days) | ||||
| Skill Enhancement Course – I | Skill Enhancement Course – II | Skill Enhancement Course – III | |||||
| Value Added Courses (Environmental Science, Understanding India) | Value Added Courses (Health & Yoga, Digital Skills) | ||||||