School of Data Science

B.Sc. in Data Science & Analytics

Develop a strong foundation in statistical modeling, data mining, and analytical techniques to extract insights from complex datasets.

Specialization areas:

• Predictive Analytics & Modeling
• Big Data Technologies
• Data Visualization & Communication
• Statistical Learning

Features hands-on projects with real-world datasets, industry-standard software training, and capstone projects.

B.Sc. in Artificial Intelligence & Machine Learning

Explore the frontiers of AI, including machine learning algorithms, deep learning, natural language processing, and computer vision.

Specialization areas:

• Deep Learning & Neural Networks
• Natural Language Processing (NLP)
• Computer Vision & Image Recognition
• Reinforcement Learning

Includes AI ethics coursework, advanced algorithm development, and projects in autonomous systems.

M.Sc. in Data Science & Big Data Technologies

Master advanced data science concepts and gain expertise in handling large-scale datasets using cutting-edge big data tools and platforms.

Specialization areas:

• Cloud Computing for Big Data
• Distributed Data Processing (Spark, Hadoop)
• Advanced Machine Learning Algorithms
• Data Engineering & Architecture

Features industry collaborations, research thesis options, and access to high-performance computing clusters.

M.Sc. in Artificial Intelligence & Machine Learning

Dive deep into advanced AI theories and applications, focusing on research and development of intelligent systems.

Specialization areas:

• Advanced NLP & Conversational AI
• Robotics & Autonomous Systems
• AI Ethics & Responsible Innovation
• Computational Neuroscience

Offers research-intensive projects, opportunities for publication, and collaboration with leading AI labs.

Ph.D. in Data Science & Computational Intelligence

Conduct groundbreaking research at the intersection of data science, machine learning, and computational methods to solve complex global challenges.

Research Concentrations:

• Theoretical Foundations of Machine Learning
• Big Data Algorithms & Systems
• AI for Scientific Discovery (e.g., Health, Climate)
• Human-AI Interaction & Collaboration
• Explainable AI (XAI) & Trustworthy AI

Features dissertation research, advanced doctoral seminars, international conference presentations, and teaching opportunities.

Certificate in Data Analytics

Equip professionals with essential data analysis skills, tools, and techniques for data-driven decision-making in various industries.

Focus Areas:

• Data Wrangling & Preprocessing
• Exploratory Data Analysis (EDA)
• Business Intelligence & Reporting
• Introduction to Machine Learning Concepts

Highlights practical workshops, case studies, and flexible learning options for working professionals.

Industry Capstone Projects

Apply your skills to solve real-world problems in collaboration with our industry partners, gaining valuable experience and networking opportunities.

AI & ML Research Labs

Engage in cutting-edge research in our state-of-the-art labs, working alongside faculty on projects in NLP, computer vision, robotics, and more.

Data Visualization & Storytelling Workshops

Learn to effectively communicate complex data insights through compelling visualizations and narratives using tools like Tableau and D3.js.

Big Data Hackathons & Challenges

Participate in competitive hackathons and data challenges to test your skills, innovate solutions, and collaborate with peers.

Ethical AI & Bias Detection Seminars

Explore the ethical implications of AI and data science, learning to identify and mitigate bias in algorithms and data-driven systems.

Data For Good Initiatives

Apply your data science skills to projects that address social and environmental challenges, partnering with non-profits and community organizations.

Data Science Club & AI Society

Join vibrant student communities, participate in workshops, coding challenges, and network with peers passionate about data.

Coding Competitions & Kaggle Teams

Hone your skills and compete in national and international coding competitions and Kaggle data science challenges.

Internships with Tech Companies & Startups

Gain real-world experience through internships with leading tech companies, innovative startups, and research institutions.

Guest Speaker Series (Tech Leaders)

Learn from industry experts and thought leaders through our regular guest lecture series and tech talks.

Center for Advanced AI Research (CAAIR)

Pioneering research in foundational AI, machine learning theory, and applications in complex systems.

Big Data Analytics & Visualization Lab

Developing novel techniques for analyzing massive datasets and creating impactful data visualizations for insight discovery.

Machine Learning for Healthcare Institute

Applying AI and ML to improve diagnostics, personalize treatments, and advance biomedical research.

Center for Ethical AI & Responsible Innovation

Addressing the societal impact of AI, promoting fairness, transparency, and accountability in data-driven technologies.