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BS Computational Mathematics with Artificial Intelligence

Important for all candidates

  • Applicant for admission MUST MEET THE ELIGIBILITY REQUIREMENTS set-forth by Bahria University.
  • Candidates are advised to CONFIRM THEIR ELIGIBILITY prior apply.
  • In case of annual system, eligibility will be determined on the basis of result in percentages.
  • In case of semester system, eligibility will be determined on the basis of CGPA obtained out of 4.00.
  • In case the result is shown both in CGPA and percentage, CGPA will be considered.

Eligibility Criteria

  • Academic Qualification: Candidates must have completed A-Levels/Higher Secondary School Certificate (HSSC)/ Intermediate / equivalent with minimum 50% marks and Mathematics as a subject certified by IBCC.
  • Deficiency: In case an applicant has not studied mathematics during A-level/ HSSC/ equivalent, the following two deficiency courses of mathematics will be taught during the first year.
    • Fundamentals of Mathematics I GSC 103 (3 Credit Hours)
    • Fundamentals of Mathematics II GSC 104 (3 Credit Hours)
  • Entry Test: The candidates will be required to appear in the BU entrance test
  • Interview: Shortlisted candidates may be called for an interview to assess aptitude, motivation, and preparedness for the program

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None ENG 101 Functional English 3
2 None CSC 112 Programming Fundamentals 2
3 None CSL 112 Programming Fundamentals Lab 1
4 None CSC 114 Introduction to Information & Communication Technology 2
5 None CSL 114 Introduction to Information & Communication Technology Lab 1
6 None MAT 205 Statistics 3
7 None QUR 111 Quantitative Reasoning–I 3
8 None ISL 107 *Tajweed (Tajweed, Quran and Hadith) 0
9 None PAK 109 Ideology and Constitution of Pakistan 2
Total Credit Hours 17

*Only for Muslim students

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None PAK 103 Pakistan Studies & Global Perspective 2
2 None CSC 210 Object Oriented Programming 3
3 CSC 112 CSL 210 Object Oriented Programming Lab 1
4 CSC 112 GSC 121 Linear Algebra 3
5 None QUR 112 Quantitative Reasoning–II 3
6 None GSC 110 Applied Calculus & Analytical Geometry 3
7 None ISL 203 *Fehm-e-Quran–I 1
8 None ENG 123 Expository Writing 3
Total Credit Hours 19

*2 contact hour Fehm-e-Quran I & II for Muslims only. Non-Muslim students to study any university approved 02 (or more) Credit hours of interdisciplinary course.

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None MAT 208 Real Analysis 3
2 None GSC 114 Applied Physics 2
3 None GSL 113 Applied Physics Lab 1
4 GSC 110 GSC 211 Multivariable Calculus 3
5 None ISL 204 *Fehm-e-Quran II 1
6 None HSS 219 Civic and Community Engagement 2
7 CSC 112 RGS 452 Data Structures & Algorithms 2
8 CSC 112 RGL 452 Data Structures & Algorithms Lab 1
9. None XXXX General Education Elective 2
Total Credit Hours 17

*2 contact hour Fehm-e-Quran I & II for Muslims only. Non-Muslim students to study any university approved 02 (or more) Credit hours of interdisciplinary course.

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None RGS 206 Database Management Systems 2
2 None RGL 206 Database Management Systems Lab 1
3 CSC 210 AIC 201 Artificial Intelligence 3
4 CSC 210 AIL 201 Artificial Intelligence Lab 1
5 None MAT 301 Ordinary Differential Equations 3
6 None ENG 134 Communication Skills 2
7 None MAT 312 Fuzzy Set Theory 3
8 None XXXX General Education Elective 3
9. None MAT 431 Fundamentals of Cryptography 3
Total Credit Hours 21

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 MAT 301 MAT 307 Partial Differential Equations 3
2 None ISL 101
/HSS 116		 *Islamic Studies/Ethics 2
3 MAT 205 MAT 420 Statistical Inferences 3
4 AIC 201 AIC 202 Programming for Artificial Intelligence 2
5 AIC 201 AIL 202 Programming for Artificial Intelligence Lab 1
6 None GSC 321 Numerical Analysis 2
7 None GSL 321 Numerical Analysis Lab 1
8 RGS 452 CSC 321 Design and Analysis of Algorithms 3
Total Credit Hours 17

*Compulsory course for Muslims, non-Muslim students to study Ethics course

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 RGS 452 CSC 320 Operating Systems 3
2 RGS 452 CSL 320 Operating Systems Lab 1
3 MAT 301 MAT 313 Numerical Solutions of Ordinary Differential Equations 3
4 AIC 201 AIC 301 Machine Learning 2
5 AIC 201 AIL 301 Machine Learning Lab 1
6 None GSC 445 Operations Research 3
7   XXXXX Elective-I 3
8   XXXXX Elective-II 3
9 None ISL 113 Seerah-I 0
Total Credit Hours 19

*Non-credited course for Muslim students only.

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None MAT 406 Mathematical Simulations 3
2 None MAT 409 Graph Theory 3
3 None MAT 435 Non-Linear Programing 3
4 None   Elective-III 3
5 None   Elective-IV 3
6   XXXXX Elective-V 3
7 None ISL 114 Seerah-II Tajweed, Quran and Hadith 0
Total Credit Hours 18

*Non-credited course for Muslim students only.

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
1 None FYP 400 Final Year Project 3
2 None SDW 496 Internship 3
3 None MAT 405 Optimization Theory 3
4 None MAT 429 Computational Fluid Dynamics 3
Total Credit Hours 12

 

Sr. No. Pre-requisite Course Code Course Code Course Title Credit Hours
Computational Mathematics
1 None MAT 311 Exact Solutions of Dynamical System 3
2 GSC 121 MAT 430 Numerical Linear Algebra 3
3 None MAT 401 Differential Geometry 3
4 None MAT 511 Integral Equations & Applications 3
5 None MAT 414 Finite Difference Analysis 3
6 None MAT 403 Functional Analysis 3
7 None MAT 433 Analytical Mechanics 3
8 None MAT 434 Regression Modeling 3
9 None MAT 428 Neural Networks for Differential Equations 3
Artificial Intelligence
10 CSC 210 DSC 412 Text Mining 3
11 AIC 301 AIC 401 Deep Learning (2+1)
12 RGS 206 CSC 452 Data Mining 3
13 RGS 206 CSC 487 Introduction to Data Science 2+1
14 CSC 210 CSC 449 Neural Networks & Fuzzy Logic 3
15 None AIC 306 Speech Processing 3
16 RGS 206 CSC 488 Big Data Analytics (2+1)
17 CSC 210 CSC 319 Game Development and Design (2+1)
18 None AIC 442 Natural Language Processing (2+1)
19 CSC 210 CSC 444 Computer Graphics (2+1)
20 None AIC 402 Reinforcement Learning 3
21 None CSC 315 Theory of Automata 3
22 None AIC 403 Fuzzy Systems 3
23 None AIC 308 Agent-Based Modeling 3
24 None CEN 459 Robotic 2+1
25 None ITC 412 Introduction to Cyber Security 2+1
26 None AIC 410 Virtual and Augmented Reality 2+1
27 None AIC 411 HCI & Computer Graphics 2+1
28 None AIC 310 Swarm Intelligence 2+1
29 None CSC 400 Quantum Computing 2+1
30 None AIC 377 Game Artificial Intelligence 2+1
Interdisciplinary Courses for Non-Muslim Students
1 None HSS 217 Introduction to Sociology 2
2 None CSC 308 Professional Practices & Ethics 2
3 None HSS 218 Introduction to Anthropology 2
List of General Courses
1 None PSY 102 Introduction to Psychology 2
2 None HSS 423 Entrepreneurship 2
3 None ENG 320 Technical Writing and Presentation Skills 3
4 None ENV 111 Introduction to Environmental Studies 3
5 None HSS 111 Introduction to International Relations 2
6 ENG 101 ENG 207 Advance Academic Reading & Writing Skills 3
7 None LLB 115 Introduction to Law 3

 

Program Educational Objectives (PEOs):

The BS Computational Mathematics with Artificial Intelligence program is designed to achieve the following educational objectives:
PEO 1: To provide a strong academic foundation in computational mathematics, statistical methods, and artificial intelligence for solving complex problems in diverse domains.
PEO 2: To enable students to apply mathematical reasoning, computational approaches, and artificial intelligence techniques for the development of innovative and data-driven solutions.
PEO 3: To foster ethical and professional responsibility, lifelong learning, research capability, communication skills, and teamwork for meaningful contribution to academia, industry, and society.

 

Program Learning Outcomes (PLOs):
Upon successful completion of the program, the graduates will be able to:

PLO 1: Knowledge
Apply knowledge of computational mathematics, statistics, and artificial intelligence to solve complex problems in academic and professional contexts.
PLO 2: Problem Analysis
Identify, formulate, and analyze complex problems using mathematical reasoning, computational methods, and artificial intelligence-based approaches.
PLO 3: Design and Development of Solutions
Design and develop efficient, data-driven, and intelligent solutions for real-world problems through the integration of mathematical modeling and artificial intelligence techniques.
PLO 4: Investigation
Investigate complex problems through data analysis, computational experimentation, and interpretation of results to reach valid conclusions.
PLO 5: Modern Tool Usage
Select and apply appropriate programming languages, computational tools, software, and artificial intelligence frameworks for modeling, simulation, and intelligent system development.
PLO 6: Ethics and Professional Responsibility
Apply ethical principles and demonstrate professional responsibility, fairness, transparency, and accountability in the development and application of computational and AI-based systems.
PLO 7: Individual and Team Work
Function effectively as an individual and as a member or leader in multidisciplinary teams.
PLO 8: Communication
Communicate effectively with the academic community, industry, and society through reports, presentations, documentation, and technical discussions.
PLO 9: Research and Lifelong Learning
Recognize the need for lifelong learning and engage in research and independent learning to adapt to emerging developments in computational mathematics and artificial intelligence.
PLO 10: Society and Sustainability
Assess the societal and sustainability implications of computational and AI-driven solutions and contribute responsibly to national and global development.

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Locations

Head Office

Shangrila Road, Sector E-8, Islamabad, Ph: +92-51-9260002

E-8, Islamabad Campus

Shangrila Road, Sector E-8, Islamabad, Ph: +92-51-9260002

H-11, Islamabad Campus

Plot 83, H-11/4, Islamabad, Ph: 051-9259500, 051-9259493

Lahore Campus

47-C, Civic Center, Johar Town Lahore, Ph: 042-99233404

Karachi Campus

13 National Stadium Road, Karachi, Ph: 021 99240002-6

Institute of Professional Psychology, Karachi

13 National Stadium Road, Karachi, Ph: +92-21-111-111-028

Health Sciences Campus, Karachi

Adjacent to PNS Shifa, Sailor Street, DHA Phase 2, Karachi

Health Sciences Campus, Islamabad

Naval Anchorage, Islamabad Phone: +92-51-8855240

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