Bachelor's
BS Applied Mathematics and Artificial Intelligence
Duration
4 years full-time
Qualification
Bachelor of Science in Applied Mathematics and Artificial Intelligence
Academic Session
Spring and Fall
Life at UChenab
Program Overview
Modules
Eligibility Criteria
Tuition Fee
Teaching
Assessment
Sample Test
Careers
Department
Life at UChenab
Next Steps
Entry 2025
Program Overview
The Bachelor of Science in Applied Mathematics and Artificial Intelligence is a cutting-edge four-year undergraduate program that combines the analytical power of mathematics with the innovation of AI. This interdisciplinary degree is designed to develop students into highly skilled problem solvers, data analysts, and AI specialists capable of tackling complex real-world challenges.
In today’s data-driven world, the integration of applied mathematics and artificial intelligence is revolutionizing industries — from finance and healthcare to robotics and climate science. This program equips students with a strong foundation in mathematical modeling, statistical analysis, machine learning, neural networks, and computational algorithms.
Students are trained in both theory and practical application through modern labs, hands-on coding, simulations, and real-world data processing. The University of Chenab offers a supportive and technologically advanced environment, preparing graduates to become future innovators in academia, industry, and research.
Modules
Eligibility Criteria
- Higher Secondary School Certificate (involving 12 years of schooling) or an IBCC equivalent qualification in any group with a subject of Mathematics / General Mathematics, with minimum 45%.
- Passinstitutional admission test with 50%
Duration
Minimum: 4 years (8 regular semesters)
Maximum: 6 years (12 regular semesters)
The maximum limit is further extendable in accordance with HEC semester rules.
Tuition Fee
Teaching
1. General Principles
The BS in Applied Mathematics and Artificial Intelligence balances theoretical depth with practical application. Students are guided to develop critical thinking, logical reasoning, and computational problem-solving abilities. Teaching is designed to encourage scientific inquiry and innovation.
2. Teaching Sessions
Learning is delivered through a blend of lectures, coding labs, mathematical simulations, research seminars, and AI workshops. Students are encouraged to collaborate on assignments, participate in interdepartmental projects, and engage with real-world datasets.
3. Teaching Schedule
The departmental teaching schedule includes:
- Delivering lectures: Daily
- Presentations: Twice a month
- Quiz-based activities: Twice a month
- Research work/Practicals: Once a week
- Interdepartmental meetings: Once a month
- Guest lectures: Conducted from time to time
- Library-based assignments: Conducted from time to time
Note:
- All sessions are supervised by experienced and qualified faculty.
- Minimum 75% attendance is required to appear in final examinations.
- The Quality Assurance Department regularly evaluates academic processes.
- Performance is monitored to ensure continuous improvement and academic excellence.
Assessment
The program follows a comprehensive assessment structure comprising written examinations, coding evaluations, mathematical proofs, practical assignments, research presentations, and final-year AI projects. Students must secure a minimum of 50% marks independently in both theoretical and practical components of each course.
Sample Test
Careers
Graduates of the BS in Applied Mathematics and Artificial Intelligence are highly sought-after in a wide range of industries that rely on data-driven decision-making and intelligent systems. The program opens pathways to careers in both the private and public sectors, locally and internationally.
Career prospects include:
- Data Scientist
- AI/ML Engineer
- Business Intelligence Analyst
- Quantitative Analyst (Quant)
- Predictive Modeler
- Operations Research Analyst
- Scientific Researcher
- Software Developer (AI/Math-based Systems)
- Financial Risk Analyst
- AI Consultant in Healthcare, Finance, Defense
- Research & Development in AI Labs
- Academic Teaching and Postgraduate Research (MS/MPhil/PhD)
With the global rise of AI, automation, and analytics, graduates can find opportunities in leading tech firms, research institutions, financial markets, healthcare analytics, and governmental AI initiatives across Europe, the Middle East, North America, and beyond.
Helping You Find the Right Career
At The University of Chenab, students are supported in achieving their career goals through a dedicated Office of Student Affairs. Services include:
- Career counseling
- Internship and job placement support
- Graduate school application guidance
- Networking events with AI professionals and data scientists
- Industry-focused seminars and workshops
The University ensures that every student is empowered to take their first confident step into a promising career or further academic pursuit.
Department
Our vision is to be an international partner in computing education, research and development. Well, our graduates should be impacting society as computing professionals and entrepreneurs should highlight professional integrity and leadership.
Department works with a clear mission to provide the country with trained resources. High-tech products and services are available to exercise commercialization through incubation of high-tech companies.
- To produce best quality Computer Science & IT professionals and researchers by providing state-of-the-art training, hands on experience, and healthy research environment.
- Collaborate with industry and academia around the globe for achieving quality technical education and excellence in research through active participation of all the stakeholders.
- To promote academic growth by establishing Center of Excellences as well as offering inter-disciplinary postgraduate and doctoral programs.
- Establish and maintain an effective operational environment and deliver quality, prompt, cost effective and reliable technology services to the society as well as compliment the local and global economic goals.
- Making world class technology available to undertake large and complex IT Projects in Pakistan
- Exercising commercialization through incubation of high tech companies.
Currently, the Department is offering the following undergraduate and postgraduate degree programs:
2024
Ejaz, S., Baig, R., Ashraf, Z., Alnfiai, M. M., Alnahari, M. M., & Alotaibi, R. M. (2024). A deep learning framework for the early detection of multi-retinal diseases. PLOS ONE, 19(7), e0307317.
Shaukat, F., Ejaz, N., Ashraf, Z., Alnfiai, M. M., Alnahari, M. M., & Alotaibi, R. M. (2024). GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding. IEEE Access.
Ashraf, Z., Sohail, A., & Iqbal, M. (2024). Design and Implementation of Lightweight Certificateless Secure Communication Scheme on Industrial NFV-Based IPv6 Virtual Networks. Electronics, 13(13), 2649.
Mahmood, Z., Ashraf, Z., Iqbal, M., & Farooq, B. (2024). User-trust centric lightweight access control for smart IoT crowd sensing applications in healthcare systems. Personal and Ubiquitous Computing, 28(2), pp. 1-14.
2023
Ashraf, Z., Sohail, A., Hameed, A., Farhan, M., Alotaibi, F. A., & Alnfiai, M. M. (2023). Robust and Lightweight Remote User Authentication Mechanism for Next-Generation IoT-based Smart Home. IEEE Access 11, pp. 137899 – 137910
Ashraf, Z., Mahmood, Z., & Iqbal, M. (2023). Lightweight Privacy-Preserving Remote User Authentication and Key Agreement Protocol for Next-Generation IoT-Based Smart Healthcare. Future Internet, 15(12), 386.
Ashraf, Z., Sohail, A., & Yousaf, M. (2023). Lightweight and authentic symmetric session key cryptosystem for client–server mobile communication. The Journal of Supercomputing, 1-25.
Ashraf, Z., Sohail, A., & Yousaf, M. (2023). Robust and lightweight symmetric key exchange algorithm for next-generation IoE. Internet of Things, 22, 100703.
Ashraf, Z., Sohail, A., Latif, S. A., Pitafi, A. H., & Malik, M. Y. (2023). Challenges and Mitigation Strategies for Transition from IPv4 Network to Virtualized Next-Generation IPv6 Network. Int. Arab J. Inf. Technol., 20(1), 78-91.
Butt, U. M., Arif, R., Letchmunan, S., Malik, B. H., & Butt, M. A. (2023). Feature Enhanced Stacked Auto Encoder for Diseases Detection in Brain MRI. Computers, Materials & Continua, 76(2).
Ikram, A., Butt, M. A., & Tariq, I. (2023). Comparative Analysis of Regression Algorithms used to Predict the Sales of Big Marts. Journal of Innovative Computing and Emerging Technologies, 3(1).
Butt, M. A., Danjuma, S., Ilyas, M. S. B., Butt, U. M., Shahid, M., & Tariq, I. (2023). Demand Prediction on Bike Sharing Data Using Regression Analysis Approach. Journal of Innovative Computing and Emerging Technologies, 3(1).
2022
Butt, U. M., Ullah, H. A., Letchmunan, S., Tariq, I., Hassan, F. H., & Koh, T. W. (2023). Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences. Computers, Materials & Continua, 74(3).
Butt, U. M., Letchmunan, S., Hassan, F. H., & Koh, T. W. (2022). Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. Plos one, 17(9), e0274172.
Baig, R., Rehman, A., Almuhaimeed, A., Alzahrani, A., & Rauf, H. T. (2022). Detecting malignant leukemia cells using microscopic blood smear images: a deep learning approach. Applied Sciences, 12(13), 6317.
Fatima, M., Rextin, A., Nasim, M., & Yusuf, O. (2022, October). Digital Information Seeking and Sharing Behaviour During the COVID-19 Pandemic in Pakistan. In Multidisciplinary International Symposium on Disinformation in Open Online Media (pp. 44-62). Cham: Springer International Publishing.
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- University of Kotli, Kotli, Azad Jammu & Kashmir
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Department of computer science has built strong linkage with industry and signed various MOUs with different software houses for jobs and internships.
Recently the University of Chenab has signed MOUs with following software houses.
- KMS Enterprise Solutions in Canada
- Techno Verse
- Twin Spider
- Dev Valley
- Cipher Coders
- Soft Pin
- Huawei ICT Academy
- Gujrat Chamber of Commerce and Industries
Lead By
Life at UChenab
Ambience
Peaceful ambience, agile teaching as well as non-teaching staff, and a disciplined yet enjoyable and motivating atmosphere. Welcome to the University of Chenab. We produce professionals who are adept in their disciplines. Our institution is not only concerned with grades and education, but also take care of mental well-being of our students.The University of Chenab
Our Mission
The University of Chenab represents excellence in teaching, research, scholarship, creativity and engagement. Its mission is to produce professionals outfitted with the highest standards in creativity, transfer and application of knowledge dissemination to address issues of our time.
The UChenab sculpts its graduates to become future leaders in their fields to inspire the next generation and to advance ideas that benefit the world.
The University of Chenab
Our Vision
Recognization
The University of Chenab, Gujrat aspires to become a nationally and internationally recognized university that distinguishes itself as an embedding center for outstanding ethical and moral values, teaching quality, learning outcomes, and richness of the student experience. The University of Chenab, Gujrat envisions a transformative impact on society through its continual innovation in education, creativity, research, and entrepreneurship.Next Steps
Finding Your
Course
How to Apply?
- Visit (Website link admission tab) and search your respective course and department on this website.
- Check the admission criteria and learn about the eligibility criteria of your selected course.
- If you are confused about the fee structure visit our fee guide at (link)
- To search more about the campus and studies visit other events and tabs to learn about the latest news and events.
- Still if there are any ambiguities then contact our admission office.
Apply Online
- Search the page and select your course scroll to the menu and click on and option ‘Apply.’
- Fill the online application form with the required attachments.
- After the form is submitted then you’ll receive a confirmation email. Confirm your application which is then processed forward.
In-Campus Test
- After the acceptance of the online registration a date and time is allocated for an in-campus test.
- You must bring your original attested documents on your test day.
Results And Enrolment
- After sometimes the results are out so constantly check your email for the notification.
- Visit the campus for enrolment.
Final Steps
- After the enrolment attend your orientation day as it is an interactive session among students and the faculty.
- Then, receive your timetable.
- Finally, start a new step of your carrier.
Entry 2025
