Undergraduate Program

BS Data Science Technology

Faculty of Information Technology

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Department of Computer Science

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Faculty of Information Technology

Department of Computer Science

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    Introduction

    The BS Data Science Technology program trains students in data analytics, statistical modeling, big data tools, and machine learning. It combines computing, mathematics, and domain knowledge to prepare graduates for data-driven decision-making in the modern world.

    Why BS Data Science Technology from SHU

    International standard cutting-edge curriculum

    Our Bachelor of Science in C Technology program offers a curriculum that incorporates the latest technological advancements and research. Designed to align with international best practices, our innovative coursework equips students with the essential skills and knowledge to succeed in a rapidly changing industry.

    Advanced Laboratories for Applied Research

    Our laboratories provide a dynamic environment for hands-on learning and research in Data Science. Students engage in real-world problem-solving, developing and testing innovative software solutions. These labs support exploration in areas like AI, cloud computing, and cybersecurity. With industry-standard tools and technologies, students gain practical experience that bridges theory and application. The facilities foster creativity, collaboration, and technical expertise, preparing students for future challenges in the software industry.

    Experiential and Project-Based Learning

    We emphasize experiential and project-based learning methodologies to provide students with practical experience and problem-solving skills. This approach fosters critical thinking and innovation by involving students in real-world projects and collaborative research.

    Career-Oriented and Marketable Skills

    The curriculum is tailored to cultivate career-focused competencies and entrepreneurial skills. Students acquire marketable expertise that prepares them for diverse professional opportunities and entrepreneurial ventures in the technology sector.

    International Exposure and Mobility

    Students benefit from opportunities for national and international exposure through participation in seminar, competitions and exhibitions. These experiences enhance their global perspective, expand professional networks, and enrich their academic journey.

    Expert Faculty Guidance

    Our highly experienced and well-qualified faculty members provide exceptional support and guidance throughout the program. Their expertise and industry experience play a crucial role in mentoring students and advancing their academic and professional growth.

    Industry Mentorship

    Our program offers mentorship from industry professionals to support the development of entrepreneurial ideas. This guidance helps students refine their projects, navigate industry challenges, and transform innovative concepts into viable business solutions.

    About Program

    Data is now a core asset in every industry. This program equips students with the skills to extract insights, build predictive models, and support business intelligence. It is designed to meet the rising demand for professionals who can handle large-scale data and drive innovation.

    1. Internships in finance, healthcare, e-commerce, and analytics firms
    2. Practical training with data visualization, analysis, and modeling tools
    3. Career roles include:
      • Data Analyst
      • Data Scientist
      • Business Intelligence Developer
      • Big Data Engineer
      • AI/Data Strategy Consultant
    4. Opportunities in public and private sectors with growing global demand
    5. Strong foundation for graduate studies in Data Science and Analytics
    • Minimum 50% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics is required for admission in all BS Computing Programs other than BS Computing Engineering.
    • An equivalency certificate by IBCC will be required in case of education from some other country or system.
    • The students who have not studied Mathematics at the intermediate level have to pass deficiency courses in Mathematics (06 credits) in the first two semesters.
    • The minimum duration for completion of BS degrees is four years. The HEC allows a maximum period of seven years to complete BS degree requirements.
    • A minimum 2.0 CGPA (Cumulative Grade Point Average) on a scale of 4.0 is required for the award of BS Computing Degree.

    Scheme of Study (Semester Wise)

    Data Science Technology Program (Scheme of Study)
    Semester – 1
    Course Title Credit Hours
    Th Pr Total
    Programming Fundamentals (Computing I) 1 2 3
    Application of Information & Communication Technologies (Computing II) 1 1 2
    Applied Physics 2 1 3
    Islamic Studies 2 0 2
    Calculus and Analytical Geometry 3 0 3
    Functional English 3 0 3
    16
    Semester – 2
    Course Title Credit Hours
    Th Pr Total
    Object-Oriented Programming Prerequisites: PF (DS Foundation I) 1 2 3
    Digital Logic Design (DS Foundation II) 2 1 3
    Pakistan Studies 2 0 2
    Introduction to Data science BE (DS Foundation III) 3 0 3
    Linear Algebra 2 0 2
    Probability and Statistics for Data Science (DS Foundation IV) 3 0 3
    16
    Semester – 3
    Course Title Credit Hours
    Th Pr Total
    Data Structures and Algorithms (Computing III) 1 2 3
    Technical and Business Writing 2 0 2
    Artificial Intelligence (DS Foundation V) 2 1 3
    Advanced Statistics (DS Breadth Core I) 3 0 3
    Data Mining (DS Breadth Core II) 1 2 3
    Database Application(DS Breadth Core III) 1 1 2
    16
    Semester – 4
    Course Title Credit Hours
    Th Pr Total
    Operating Systems (DS Foundation VI) 2 1 3
    Computer Organization and Assembly Language Prerequisites: DLD (DS Foundation VII) 2 1 3
    Communication Skills 3 0 3
    Web Technologies BE (DS Breadth Core IV) 2 1 3
    Machine Learning (DS Breadth Core V) 2 1 3
    Entrepreneurship 3 0 3
    18
    Semester – 5
    Course Title Credit Hours
    Th Pr Total
    Introduction to Management 3 0 3
    Depth Elective I 1 2 3
    Depth Elective II 2 1 3
    Professional Ethics 2 0 2
    GE I 2 1 3
    Depth Elective III 2 1 3
    17
    Semester – 6
    Course Title Credit Hours
    Th Pr Total
    Final Year Project-I 0 3 3
    Depth Elective IV 2 1 3
    Depth Elective V 2 1 3
    Advance Database Management System (DS Breadth Core VI) 2 1 3
    IDTE I 2 1 3
    15
    Semester – 7
    Course Title Credit Hours
    Th Pr Total
    Final Year Project-II 0 3 3
    Health, Safety & the Environment 3 0 3
    Depth Elective VI 2 1 3
    Deep Learning (DS Breadth Core VII) 1 2 3
    GE II 2 1 3
    IDTE II 2 1 3
    18
    Semester – 8
    Course Title Credit Hours
    Th Pr Total
    Supervise Industrial Training 0 16 16
    16
    Total Cr hr. 132
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