BS Data Science

Dr Muhammad Asif

Chairperson Message

Welcome to the Department of Applied Computing and Emerging Sciences! As the inaugural Chairperson, it is my honour to extend a warm welcome to each and every one of you on our departmental website. Here at the Department of Applied Computing and Emerging Sciences, we’re not just teaching you how to code – we’re empowering you to become the architects of a better tomorrow. The department offers a diverse range of programs, from Data Science and Cloud Computing to the thrilling world of Artificial Intelligence and Game Engineering. Each program is meticulously crafted to equip you with the in-depth knowledge you crave – Hardware, Software, Networks, Security, you name it. We provide you with the opportunity to explore and navigate through the ever-evolving landscape of Applied Computing, ensuring you graduate with the skills to not only survive, but thrive, in this ever-changing industry. Imagine this: Our state-of-the-art computing labs, constantly.....
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Program Overview

About the Program

The Bachelor of Science in Data Science (BS-DS) program is a rigorous and rewarding four-year degree program that prepares students for careers in data science. The program is grounded in the mathematical and statistical foundations of data science, and it emphasizes the ethical and responsible use of data science. The program also provides students with a strong computer science foundation, which is essential for developing and applying data science techniques.

Program Educational Objectives
This program focuses on three key objectives:
PEO-1: Proficiency in Computing and Analytics: Develop Proficiency in Fundamental Computing and Data Science Concepts and Analytical Skills.
PEO-2: Data-Driven Problem Solving: Apply Computational Knowledge to Solve Real-World Problems using Data Science Techniques.
PEO-3: Ethical Data Science Communication and Impact: Communicate Data Science Findings Effectively and Ethically, Addressing Societal Implications.

By achieving these PEOs, graduates will be prepared to:

  • Strong analytical skills for interpreting and analyzing complex data.
  • Proficiency in applying machine learning algorithms to real-world challenges.
  • Effective communication, considering ethical and societal implications.
  • Ability to work independently and collaboratively in problem-solving.
  • Commitment to lifelong learning and adaptability to emerging trends.


  • Comprehensive Curriculum
  • Practical Hands-on Experience
  • Industry-Driven Projects
  • Specialization Opportunities
  • Research Opportunities
  • Career Guidance and Placement Support

Career Opportunities
Data Scientist:
Collect, analyze, and interpret data to help businesses make informed decisions.
Data Analyst: Collect, clean, and organize data. Analyze data and identify trends. Communicate results to stakeholders.
Machine Learning Engineer: Develop and deploy machine learning models. Build models that can learn from data and make predictions. Deploy models into production.
Business Intelligence Analyst: Use data to help businesses make better decisions. Collect, analyze, and visualize data. Communicate results to stakeholders.
Data Architect: Design and implement data systems. Store, manage, and analyze data. Meet business needs.
Data Engineer: Build and maintain data pipelines. Collect, clean, and move data from one system to another. Deploy pipelines in the cloud.
Data Visualization Specialist: Create data visualizations that help people understand data. Clear, concise, and easy to understand. Communicate results to stakeholders.
Data Privacy and Security Specialist: Ensuring data compliance with privacy regulations, implementing security measures, and safeguarding sensitive information.
Computational Linguist/Natural Language Processing Specialist: Developing algorithms and models for language-related tasks like sentiment analysis and language translation.

Benefits of the Data Science program at SSUET

Extensive alumni network: With one of the largest alumni networks in Pakistan, you will have access to valuable connections and mentorship opportunities.
Highly qualified PhD faculty: Learn from experienced and knowledgeable PhD faculty members who are up-to-date with the latest advancements in data science.
State-of-the-art laboratories: Gain hands-on experience with modern tools and technologies used in the field.
Low program fee: Affordable tuition makes quality education accessible to a broader range of students.
Diverse career opportunities: Prepare for a multitude of career opportunities in data science, artificial intelligence, machine learning, and related fields.
Industry collaboration: Gain practical experience and enhance your employability through internship and research opportunities in renowned organizations.
Ethical and responsible data science: Learn to use data for the greater good and adhere to ethical standards.
Supportive campus culture: Thrive in an environment that values diversity and encourages critical thinking.
Impactful research opportunities: Explore your interests and contribute to the advancement of knowledge in the field of data science.

Vision & Mission

Departmental Vision:
To be a globally recognized leader in applied computing education, empowering graduates to become innovative problem-solvers and architects of a technologically advanced and socially responsible future, aligned with the vision of Sir Syed University.

Departmental Mission:
Our mission is to provide a dynamic learning environment that empowers individuals to become visionary leaders and innovators in the fields of Applied Computing and Emerging Sciences. Through rigorous academic programs, industry collaborations, and projects, we aim to equip our students with the knowledge, skills, and ethical values necessary to address societal challenges, drive technological advancements, and create meaningful impact in the world. Grounded in the Aligarh spirit, we are dedicated to fostering a culture of research, innovation, and knowledge sharing for the betterment of society.

Faculty Members

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