- Data Science (BS)
Duration
4 years full-time
Qualification
Data Science (BS)
Course Code
N1234
Start Date
23rd October, 2023
Our Bachelor’s degree in Data Science (BS-DS) is a full-time, four-year program that provides strong computing skills with basic training of data analysis in mathematical and statistical perspective. It is an integrated course, particularly designed on the basic principles of statistics and computer science.
A comprehensive study of Data Science (BS-DS) applies core concepts in specialist areas of data mining, statistical modeling, algorithm design, and machine learning is important to understand the huge amount of data daily generated in modern world in various fields form finance to social networks.
Known for its dual emphasis on statistics and computer science, this degree aims to prepare students with strong analytical abilities and programming experience in data management, data analysis, and data-centric programming. You will learn sophisticated computing, mathematical and statistical skills necessary for processing the data information.
As a holistic program, BS in data Science encapsulates latest technology to obtain values from data or develop similar technology. In the long run, our students are appropriately equipped to lead careers in a wide variety of fields from social, physical, and biomedical sciences to arts and humanities.
Our program structure is divided up into core courses, foundation courses, general courses, and electives to complete the degree of Data Science. The curriculum offers a flexible mixture of core/compulsory and optional modules. Through the optional module, you may choose to spend a year in a research exchange program, which will help you throughout your career.
There has been a concerted effort to develop skills for data collection, data analysis, data representation, data management, and data retrieval to prepare students in all areas of importance to Data Science.
An overview of complete BS Data Science program structure and course distribution is mentioned below.
Our teaching methods consist of lectures, tutorials, computer-based lab sessions, seminars, workshops, online learning, and independent study. You will be guided al about the studies, mainly about time for preparing classes, completion of research projects, and reading of primary texts. This program is taught in an appropriately positive learning environment for quality composing work to take place.
Our Computer Science (BS-Data Science) degree is undertaken in a better, more open, and more connected environment to keep more students engaged in a classroom.
Mainly evaluation will be concluded by extensive monitoring of written examination and course work completion along with routine quizzes, individual assignments, and group tasks i.e. programming such as writing, research and presentation.
Final year will also have an additional data science project.
The duration to complete BS degree program is about 4 years. But HEC has allowed a maximum 7 year duration to complete their degrees.
Before applying for a degree, you should first check that we recognize your higher secondary/tertiary education qualification. This can include:
- Pakistani Based Examinations: Higher Secondary School Certificate (HSSC) or equivalent with Mathematics or three years Diploma of Associate Engineer (DAE) in any discipline
- British System: GCE A Level with any of following subjects Further Mathematics/Pure Mathematics/Mathematics.
- International Baccalaureate (IB): The International Baccalaureate Diploma Program (DP) from external Examining body Geneva, Switzerland with five subjects (including Mathematics)
- You still can be admitted if you have passed additional deficiency courses prescribed by the relevant faculty.
- Candidates without mathematics can be admitted provided that they must have to pass deficiency courses of Mathematics of 6 credit hours in first two semesters.
- 50% marks are required in all cases described above.
- Equivalence Certificate for A-Level/IB and other qualification holders from Inter Board Committee of Chairman (IBCC) Islamabad, Pakistan.
- Admission test administered by the university.
BS Data Science graduates have an opportunity to work as:
- Finance and Investment Analysis
- Actuaries, Economists, and statisticians
- Data Scientists and Engineers
- Telecommunication Designer
- Software Developers
- Academics
Helping you find the right career
We have the facilities of devoted career counselors who help you to select your career choices and assist you in preparing for various recruitment programs. You can also be a part of career fest programs which are an interactive session with the recruiters so, you can understand their requirements and recruitment criteria.
For clearing any ambiguities visit Office of student affairs, The University of Chenab, Gujrat.
Tuition Fee
Mainly tuition fees majorly covers our study cost, which includes assessment and teaching. Advanced fees are taken before the academic semester. If the university takes fees directly then you can choose the installment methods to pay your fees.
Additional course costs
You may be charged an extra cost of additional things such as books, stationery, recreational and study trips, and other materials
Courses | CrdHrs | Tuition Fee/CrdHr | Tuition Fee/Semester | Enrollment Fee (500 per Course) | Examination Fee (500 per Course) | Medical Diagnostic Charges (500 per Semester | Societies & Club Fee(2500 per Semester) | Total Fee For Semester |
5 | 15 | 7,100 | 106,500 | 2,500 | 2,500 | 500 | 2,500 | 114,500 |
6 | 17 | 7,100 | 120,700 | 3,000 | 3,000 | 500 | 2,500 | 129,700 |
6 | 19 | 7,300 | 138,700 | 3,000 | 3,000 | 500 | 2,500 | 147,700 |
6 | 18 | 7,300 | 131,400 | 3,000 | 3,000 | 500 | 2,500 | 140,400 |
6 | 19 | 7,500 | 142,500 | 3,000 | 3,000 | 500 | 2,500 | 151,500 |
6 | 19 | 7,500 | 142,500 | 3,000 | 3,000 | 500 | 2,500 | 151,500 |
5 | 15 | 7,700 | 115,500 | 2,500 | 2,500 | 500 | 2,500 | 123,500 |
4 | 12 | 7,700 | 92,400 | 2,000 | 2,000 | 500 | 2,500 | 99,400 |
44 | 134 | Total Semesters Fee | 1,058,200 | |||||
Registration Fee | 20,000 | |||||||
Total Fee | 1,078,200 |
Funding
We offer several fully and partially funded undergraduate scholarships to full-time undergraduate students. Visit Funding Policy for further queries.
To be an international partner in computing education, research and development with our graduates impacting the society as computing professionals and entrepreneurs demonstrating professional integrity and leadership.
Department works with a clear mission to provide the country with trained resources for development of high-tech products and services and 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.
- To 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 and offering inter-disciplinary postgraduate and doctoral programs.
- To 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 inPakistan.
- 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
Led By
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.
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.