Candidates must appear in [CUET(UG)]-2026. Applicants need to have passed the class XII examination with at least 50% marks from CBSE/DBSE or any recognized board with Mathematics as one of the subjects. (Relaxation of 5% marks for SC/ST/PwBD/Delhi-OBC (NCL)/Defence/Kashmiri Migrant)
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×Candidates must appear in [CUET(UG)]-2026. Applicants need to have passed the class XII examination with at least 50% marks from CBSE/DBSE or any recognized board with Mathematics as one of the subjects. (Relaxation of 5% marks for SC/ST/PwBD/Delhi-OBC (NCL)/Defence/Kashmiri Migrant)
The B.Sc. (Hons.) Mathematics programme at Dr B. R. Ambedkar University Delhi is structured in accordance with the National Education Policy (NEP) 2020 and the Undergraduate Curriculum Framework (UGCF). Offered within the Four-Year Undergraduate Programme (FYUP) structure, it is designed to promote multidisciplinary learning, academic flexibility, skill enhancement, and research orientation.
The programme provides rigorous training in core areas of pure and applied mathematics while fostering critical thinking, analytical reasoning, problem-solving abilities, and computational competence. The curriculum is structured around foundational, core, discipline-specific, and elective components, ensuring progressive and outcome-based learning.
Core courses include abstract algebra, real analysis, numerical analysis, probability and statistics, differential equations, linear optimisation, number theory, and cryptography. These courses aim to develop conceptual clarity, mathematical maturity, and proficiency in formal reasoning and proof-based methods, emphasising both theoretical understanding and practical applications.
A broad spectrum of Discipline-Specific Electives (DSEs) and Generic Electives (GEs) is offered, including mathematical finance, actuarial mathematics, mathematics for computer science, discrete mathematics, advanced algebra, advanced analysis, and mathematical modelling. Skill Enhancement Courses (SECs) and practical laboratory components strengthen computational, programming, and data-analytic capabilities, enhancing employability and industry relevance.
The pedagogical framework integrates lectures, tutorials, laboratory sessions, seminars, workshops, project-based learning, and research-oriented activities. Continuous and comprehensive evaluation mechanisms are adopted to assess learning outcomes in alignment with Outcome-Based Education (OBE) principles.
Students are encouraged to undertake internships, field-based learning, research projects, and community engagement activities as part of experiential learning. Opportunities for participation in summer schools, academic enrichment programmes, and research collaborations are also facilitated.
The programme prepares graduates for higher education and research in mathematics and allied disciplines, as well as careers in academia, research institutions, finance, actuarial science, data science, information technology, industry, and public administration. Multiple entry and exit options provide flexibility and mobility in accordance with national higher education reforms.
For details of the revised FYUP Credit and Curriculum Framework applicable for admissions from 2026
Faculty involved in teaching the programme.
For B Sc (H) Mathematics Program, the following UGCF framework from the proposed schemes of the AUD Undergraduate Curriculum Framework 2022 has been applied:
Below is an excerpt from the draft NHEQF that is relevant at the UG level.
UGCF for a Single Discipline Major in Political Science
|
Sem |
DSC |
EL/AEO/GE/DSE |
AEC/SE/AEO/GE |
AEC/CES |
Total Credits |
|
|
I |
DSC1 (4) |
EL1/AEO1 (4) |
AEC1/SE1 (4) |
AEC2/ CES1 |
20 |
|
|
|
|
|
|
(4) |
|
|
|
|
|
AEO2 (4) |
|
|
|
|
|
II |
DSC2 (4) |
EL2 /AEO3 (4) |
SE1/AEC1 (4) |
CES1/AEC2 |
20 |
|
|
|
DSC3 (4) |
|
|
(4) |
|
|
|
Students on exit have to complete a 6-credit internship (2 months) and a 4- credit VBE. Award- Undergraduate Certificate (in the single discipline) |
40 |
|||||
|
III |
DSC4 (4) |
EL3/GE1 (4) |
AEC3/(SE2/AEO4) (4) |
- |
20 |
|
|
|
DSC5 (4) |
|
|
|
|
|
|
|
DSC6 (4) |
|
|
|
|
|
|
IV |
DSC7 (4) |
EL4/GE2 (4) |
(SE2/AEO4)/AEC3 (4) |
- |
20 |
|
|
|
DSC8 (4) |
|
|
|
|
|
|
|
DSC9 (4) |
|
|
|
|
|
|
Students on exit have to complete a 6-credit internship (2 months) and a 4- credit VBE. Award- Undergraduate Diploma (in the single discipline) |
80 |
|||||
|
V |
DSC10 (4) |
DSE1 (4) |
GE3 (4) |
- |
20 |
|
|
|
DSC11 (4) |
DSE2/EL5 (4) |
|
|
|
|
|
VI |
DSC12 (4) |
DSE3 (4) |
GE4/DSE7 (4) |
- |
20 |
|
|
|
DSC13 (4) |
DSE4/EL6 (4) |
|
|
|
|
|
Students on exit should have completed a 6-credit internship (2 months) and they should have completed a 4-credit VBE within their period of study. Award- Bachelor’s Degree (in the single discipline) |
120 |
|||||
|
VII |
DSC14 (4) |
3 Courses from DSE/GE/EL (12) |
Research Methodology related to Discipline Major (4) |
20 |
||
|
VIII |
DSC15 (4) |
3 Courses from DSE/GE/EL (12) |
Research Project Report /Seminar Paper/s in the Discipline Major (6) |
22 |
||
|
Award- Bachelor’s Degree (Hons) (in the single discipline) or Bachelor’s degree with Research (in the single discipline). For the Bachelor’s degree with Research (in the single discipline) the student will be required to choose 8 DSEs. The DSEs in the 4th-year could also include course/s on Development of project/research proposal, review of related literature or studies and collection of the required data, research internship. Further the student will have to do a research project and submit a research project report. For the Bachelor’s Degree (Hons) (in the single discipline) the student would also do seminar paper/s worth 6 credits in the Discipline Major and will be required to take at least one DSE. |
162 |
|||||
Notes:
- Those students who have been diagnosed with requiring extra help in English will be compulsorily assigned the English Proficiency Course as SE1 in the AEC1/SE1 slot.
- AEC (1/2/3) will be Hindi (at the appropriate diagnostic level), English for Academic Purposes and the compulsory course on Environment respectively.
- In the Three-year BA degree programme with single discipline major all students will do
- 52 credits of compulsory courses from the discipline major and 8 credits of elective courses from the discipline. They will definitely do 60 credits (50% weightage) of courses from their discipline major. They could additionally take a further 12 credits through optional choices within their discipline.
- Three compulsory Ability Enhancement Courses: English, Hindi and Environment, each of 4 credits totalling to 12 credits.
- One Ability Enhancement Optional Course of 4 credits. They could do an additional 12 credits of AEOs by choosing AEO options.
- One Skill Enhancement Course of 4 credits. They could do an additional credits of SEs by choosing SE options.
-
- One Generic Elective Course of 4 credits. They could do an additional 12 credits of GEs by choosing GE options.
- The EL 1-6 option would allow a student to earn a minor in a discipline if they choose DSCs worth 24 credits from a single discipline different from their major. Further, change of Major may be facilitated in the 2nd Semester if the concerned student does well in EL1 of the major they wish to change to, based on prior application and meeting all requirements posited by the respective programme committees.
- In the Four-year BA degree with research in a single discipline all students will do
- 60 credits of compulsory courses from the discipline major, and 32 credits of elective courses from the discipline major. They will definitely do 92 credits of courses from their discipline major. Further, 10 credits will cover a research methodology course related to their discipline major of 4 credits and 6 credits of a Research Project Report. Thus 102 credits (over 60% weightage) would be from their discipline major. They could additionally take a further 12 credits through optional choices within their discipline in the first three years.
- The fact that the 4th year amounting to 42 credits is spent entirely on the discipline major compares well with the first year of a two-year Masters programme in the discipline major.
- In the Four-year BA (Hons) degree in a single discipline all students will do 60 credits of compulsory courses from the discipline major, and 12 credits of elective courses from the discipline major. Further, 10 credits will cover a research methodology course related to their discipline major of 4 credits and 6 credits for seminar paper/s in their discipline major. They will definitely do 82 credits (50% weightage) of courses from their discipline major. They could additionally take a further 12 credits through optional choices within their discipline in the first three years. Those who have taken EL 1-6 in a single (minor) discipline other than their major would continue to have an opportunity to take up to 5 ELs in the same (minor) discipline in their 4th year.
Abbreviations and types of academic courses
The following types of courses/academic engagements are envisaged in the AUD UGCF:
- Discipline specific core (DSC): These are the compulsory discipline specific courses.
- Elective (EL): DSC of a discipline other than the student’s major.
- Discipline specific elective (DSE): These are elective discipline specific courses.
- Generic elective (GE): These are courses that are interdisciplinary or multidisciplinary in nature.
- Ability enhancement
- Ability enhancement compulsory (AEC): These will be the compulsory ability enhancement courses. (English, Hindi and Environment)
- Ability enhancement optional (AEO): These are optional ability enhancement courses and could cover sustainable development, global citizenship, courses like Understanding India, Introduction to Social Sciences and Humanities, Nature of Science, Logic and Reasoning etc.
- Skills enhancement (SE): These will be a basket of courses aimed at improving skills and fostering vocational training. These could include courses on Python Programming, Artificial Intelligence, Data Analysis amongst others that come from vocational training.
- Value based education (VBE): These will be a basket of courses aimed at imparting value- based education. These could include courses on Happiness, Yoga, Health and Well-being, Desh Bhakti (Indian Constitution and Democracy) etc.
- Community engagement and service (CES): This will involve courses and field-based engagements developed by the Centre for Outreach and Extension.
The above framework maintains a strong disciplinary core while at the same time allowing the student to have a broad base through compulsory language and environment components. Community service and value-based education are also taken care of via compulsory components. The large number of choices available in Ability Enhancement Optional courses, Skill Enhancement courses, Generic Electives both via compulsory components and choices, will allow the student to build their knowledge of social sciences and humanities, the natural sciences and provide an interdisciplinary flavour. This structure, while admitting a student to a major, is also flexible to allow the student to change their major during the programme of study. It takes care of the core ideals of the NEP, NHEQF, UGC FYUP while ensuring that disciplinary major requirements are not diluted.
Another important point it takes care of is the fact that for 75% of UG students, the three-year undergraduate degree will be a terminal degree. While such students will do 50% of their courses from their major discipline, they can choose to do the other 50% from courses not related to their discipline but from other areas that may be of interest or those that improve their employment prospects.
The 4th year also maintains a good balance between disciplinary major requirement and other interests so as to allow a student to make the choice of whether they wish to pursue a higher degree within their discipline major or to move into other areas during their higher studies or find
List of Courses — Semester-wise
Semester I
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Introduction to Mathematical Thinking |
NSUS1MA501 |
DSC1 |
Semester II
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Analysis I |
NSUS1MA502 |
DSC2 |
|
2 |
Algebra I |
NSUS1MA503 |
DSC3 |
|
3 |
Quantitative Method |
SUS1AEO46 |
AEO |
Semester III
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Numerical Analysis |
NSUS1MA504 |
DSC4 |
|
2 |
Analysis II |
NSUS1MA505 |
DSC5 |
|
3 |
Algebra II |
NSUS1MA506 |
DSC6 |
Semester IV
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Probability and Statistics |
NSUS1MA507 |
DSC7 |
|
2 |
Analysis III |
NSUS1MA508 |
DSC8 |
|
3 |
Algebra III |
NSUS1MA509 |
DSC9 |
Semester V
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Ordinary Differential Equations |
NSUS1MA510 |
DSC10 |
|
2 |
Advance Analysis |
NSUS1MA540 |
DSC11 |
|
3 |
Mathematical Modelling |
NSUS1MA541 |
DSE1 |
|
4 |
Discrete Mathematics |
NSUS1MA532 |
DSE2 |
Semester VI
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Linear Optimisation and Applications |
NSUS1MA511 |
DSC12 |
|
2 |
Advanced Algebra |
NSUS1MA539 |
DSC13 |
|
3 |
Number Theory and Cryptography |
NSUS1MA512 |
DSE3 |
|
4 |
Partial Differential Equations |
NSUS1MA542 |
DSE4 |
|
5 |
Mathematics for Computer Science |
NSUS1MA534 |
DSC4 |
|
6 |
Mathematical Finance |
NSUS1MA535 |
DSE5 |
|
7 |
Lattices and Boolean Algebra |
NSUS1MA536 |
DSE5 |
Semester VII
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Advanced Analysis II |
NSUS1MA537 |
DSC14 |
|
2 |
Advanced Differential Equations |
NSUS1MA544 |
DSE6 |
|
3 |
Advanced Linear Algebra |
NSUS1MA539 |
DSE7 |
|
4 |
Introduction to Cryptography |
NSUS1MA540 |
DSE8 |
|
5 |
Research Methodology |
NSUS1MA547 |
RM |
|
6 |
Actuarial Mathematics |
NSUS1MA537 |
DSE10 |
|
7 |
Laplace Transforms and Fourier Series |
NSUS1MA538 |
DSE9 |
Semester VIII
|
Sl. No. |
Name of the Course |
Course Code |
Type |
|
1 |
Advanced Algebra II |
NSUS1MA542 |
DSC15 |
|
2 |
Advanced Numerical Methods |
NSUS1MA549 |
DSE11 |
|
3 |
Module Theory |
NSUS1MA550 |
DSE12 |
|
4 |
General Topology |
NSUS1MA551 |
DSE13 |
|
5 |
Advanced Number Theory |
NSUS1MA561 |
Seminar 1 |
|
6 |
Digital Imaging |
NSUS1MA562 |
Seminar 2 |
|
7 |
Special Functions |
NSUS1MA563 |
Seminar 3 |
|
8 |
Rings of Quotients and Polynomial Identities |
NSUS1MA564 |
Seminar 4 |
|
9 |
Artificial Neural Networks |
NSUS1MA565 |
Seminar 5 |
|
10 |
Symmetric Groups |
NSUS1MA566 |
Seminar 6 |
|
11 |
Fourier Approximation |
NSUS1MA567 |
Seminar 7 |
Upon successful completion of the programme, graduates will be able to:
- Demonstrate comprehensive knowledge of core mathematical areas, including algebra, analysis, differential equations, probability, statistics, optimisation, and number theory
- Construct and analyse rigorous mathematical proofs using formal reasoning and logical arguments.
- Apply mathematical techniques to solve theoretical and applied problems across diverse domains.
- Utilise computational tools, programming languages, and numerical methods to model and analyse data-driven problems.
- Formulate mathematical problems, review relevant literature, and undertake introductory research or project work.
- Apply mathematical methods to interdisciplinary fields such as finance, computer science, actuarial science, and data science.
- Effectively communicate mathematical ideas, results, and interpretations in written and oral formats.
- Demonstrate integrity, ethical reasoning, and professional responsibility in academic and professional settings.
- Engage in self-directed learning and adapt to emerging developments in mathematics and allied disciplines
1. What is the eligibility criteria?
- Academic: You must have passed Class 12 with at least 50% aggregate marks (45% for SC/ST/PwBD/OBC-NCL/Defense/Kashmiri Migrants).
- Subject-Specific: You must have secured at least 50% marks in Mathematics in your Class 12 board exams.
2. How do I get admission in 2026?
Admissions are strictly based on the Common University Entrance Test (CUET-UG). You do not need to apply with your board marks alone; however, you must meet the minimum eligibility criteria mentioned above to be considered for the merit list.
- CUET Subject Combination: Typically requires English (Section IA) + Mathematics (Section II) + Two other Domain Subjects.
3. How are the placements for Math students?
Mathematics students often find opportunities in, Data Analytics & Research, Actuarial Sciences, Teaching, Banking, Higher Education.
4. What are the program specific graduate attributes?
- Disciplinary Knowledge: A comprehensive understanding of core mathematical areas including Analysis, Algebra (Linear & Abstract), Calculus, Differential Equations .
- Analytical Reasoning: The ability to identify logical flaws, analyze the consistency of mathematical systems, and construct rigorous formal proofs.
- Mathematical Modeling: Proficiency in translating real-world phenomena into mathematical language and using those models to predict outcomes or optimize systems.
- Digital Literacy & Software Skills: Competence in using specialized tools such as LaTeX (for document typesetting), R/Python (for data analysis), and Mathematica/MATLAB (for symbolic computation).
- Research-Related Skills: Ability to conduct independent inquiries, review existing literature, and formulate research questions in mathematical sciences.
- Social & Ethical Awareness: A unique AUD attribute—the ability to understand the socio-economic implications of mathematical data and the ethical use of quantitative logic in society.
| Course Code | Course Name | Credit |
|---|---|---|
| SUS1MA511 | Linear Optimisation and Applications | 4 |
| SUS1MA531 | Quantitative Methods | 4 |
| SUS1MA502 | Analysis I | 4 |
| SUS1MA501 | Introduction to Mathematical Thinking | 4 |
| SUS1MA542 | Partial Differential Equations$ | 4 |
| SUS1MA541 | Mathematical Modelling$ | 4 |
| SUS1MA515 | Number Theory and Cryptography# | 4 |
| SUS1MA536 | Mathematical Finance* | 4 |
| SUS1MA510 | Ordinary Differential Equation | 4 |
| SUS1MA509 | Algebra III | 4 |
| SUS1MA508 | Analysis III | 4 |
| SUS1MA507 | Probability and Statistics | 4 |
| SUS1MA506 | Algebra II | 4 |
| SUS1MA505 | Analysis II | 4 |
| SUS1MA504 | Numerical Analysis | 4 |
| SUS1MA503 | Algebra I | 4 |
डॉ. बी. आर. अम्बेडकर विश्वविद्यालय दिल्ली