Bachelors of Science in Computational Chemistry with AI
Program Vision
To be recognized as a leading department in computational chemistry with AI education, fostering innovation and producing graduates who drive scientific and industrial progress.
Program Mission
To provide students with advanced knowledge and practical skills in computational chemistry and artificial intelligence, enabling them to solve complex problems and contribute to scientific innovation and socio-economic development.
Program Educational Objectives (PEOs)
- To engage students in research and innovation, contributing to advancements in computational chemistry AI aided tools and their industrial applications.
- To prepare graduates for continuous professional development and learning, ensuring they stay at the forefront of technological advancements in AI integrated chemistry expertise.
- To enable students to demonstrate leadership and ethical responsibility in professional and societal contexts, contributing to sustainable development.
Program Learning Outcomes (PLOs)
- Students shall be able to understand core principles of computational chemistry and AI.
- Students shall be able to apply computational techniques to solve complex chemical problems.
- They will be able to utilize AI tools in scientific modeling and data analysis.
- Students shall exhibit problem-solving and critical thinking skills in interdisciplinary projects.
Career Prospects
Major career opportunities include, but are not limited to:
-
- Pharmaceutical Chemistry
- Drug Designing
- Electric Vehicles and Batteries Sector
- Computational Modelling
- Energy Sector
- Environmental Technology
- AI related fields
- Data Science and many more
Admission/eligibility Criteria
- 12 years education (FSc Pre Medical, Pre Engineering or Equivalent Certificate)
- 14 years education, BSc (2 years) or ADP or Equivalent Certificate for admission in 5th semester.
- Minimum 45 % marks
- Gap Period- 3 years (Relaxation can be given if needed)
Note: FSc. (pre medical) students shall study Mathematics for chemists I and II in first and second semesters respectively. Both these courses are deficiency courses and shall not be graded (pass/fail).
Semester First Courses
| Course Title | Credit Hours |
|---|---|
| Mathematics for Chemists I (pre-medical only)* | 3(3+0) |
| Functional English | 3(3+0) |
| Mechanism and Molecular Design in Organic Chemistry | 4(3+1) |
| Islamic Studies / Ethics | 2(2+0) |
| Applied Physics | 3(2+1) |
| Total | 15/18* |
Semester Second Courses
| Course Title | Credit Hours |
|---|---|
| Programming Fundamentals | 4(3+1) |
| Mathematics for Chemists II (pre-medical only)* | 3(3+0) |
| Expository Writing with Generative AI | 3(3+0) |
| Inorganic Chemistry: Principles and Modelling | 4(3+1) |
| Entrepreneurship | 2(2+0) |
| Pakistan Studies | 2(2+0) |
| Total | 15/18* |
Semester Third Courses
| Course Title | Credit Hours |
|---|---|
| Object Oriented Programming | 4(3+1) |
| Quantitative Reasoning I | 3(3+0) |
| Physical Chemistry with Simulations | 4(3+1) |
| Probability and Statistics | 3(3+0) |
| Ideology and Constitution of Pakistan | 2(2+0) |
| Civics and Community Engagement | 2(2+0) |
| Total | 18 |
Semester Fourth Courses
| Course Title | Credit Hours |
|---|---|
| Data Structure | 4(3+1) |
| AI in Research Methodology | 2(2+0) |
| Quantitative Reasoning II | 3(3+0) |
| Professional Practices in AI | 2(2+0) |
| Data Insights in Analytical Chemistry | 4(3+1) |
| Practical Tools in Computational Chemistry | 1(0+3) |
| Total | 16 |
Semester Fifth Courses
| Course Title | Credit Hours |
|---|---|
| Database System | 4(3+1) |
| Programming for Artificial Intelligence in Chemistry | 3(2+1) |
| Computer Aided Drug Design | 3(2+1) |
| Simulations in Surface and Solution Chemistry | 3(3+0) |
| Materials Chemistry; Design and Discovery | 2(2+0) |
| Computer Aided Electrochemical Analysis | 3(2+1) |
| Total | 18 |
Semester Sixth Courses
| Course Title | Credit Hours |
|---|---|
| Machine Learning | 3(2+1) |
| Knowledge Representation and Reasoning | 3(3+0) |
| Chemistry of Transition Elements | 4(3+1) |
| Molecular Dynamics and Simulations | 3(2+1) |
| Stereochemistry and Molecular Geometry | 3(2+1) |
| Total | 16 |
Semester Seventh Courses
| Course Title | Credit Hours |
|---|---|
| Artificial Neural Networks and Deep Learning | 3(3+0) |
| Spectroscopy; Atomic and Molecular Perspective | 3(3+0) |
| Coordination Chemistry and Reactivity Modelling | 3(2+1) |
| Electronic Structure Theory | 3(3+0) |
| Separation Techniques | 3(3+0) |
| Internship * | 3(3+0) |
| Total | 18 |
Semester Eighth Courses
| Course Title | Credit Hours |
|---|---|
| Advanced Statistics | 3(3+0) |
| Computer Vision | 3(3+0) |
| Computational Retrosynthesis | 3(3+0) |
| Computational Inorganic Chemistry / Catalysis | 3(2+1) |
| Capstone Project | 3(3+0) |
| Total | 18 |
Overall Summary
| BS Computational Chemistry with AI | Credit Hours |
|---|---|
| Deficiency course (only for pre-medical students) | 06* |
| AI/Computing courses | 31 |
| Chemistry Courses | 58 |
| General Education | 30 |
| Inter-Disciplinary Courses | 06 |
| Internship | 03 |
| Capstone project | 03 |
| Total
For Pre-Engineering total credit hours are 133. |
131- 137* (*inclusive 06 Cr.Hrs of deficiency courses) |