The B.Sc in Data Science & AI at FLISM provides a comprehensive and industry-aligned curriculum, offering students a solid foundation in data science techniques, AI algorithms, and real-world applications. Whether you aim to work in technology, finance, healthcare, business intelligence, or research, this program empowers you with the necessary skills to thrive in data-driven industries.
Earn a globally recognized degree
The curriculum of the B.Sc in Data Science & AI integrates theoretical concepts with practical applications, ensuring graduates are ready to tackle industry challenges.
It is a bachelor’s degree program that provides students with in-depth knowledge of data analytics, machine learning, and AI technologies. The curriculum includes programming, mathematical foundations, and real-world problem-solving techniques to prepare students for AI-driven careers.
Graduates can pursue roles such as Data Scientist, AI Engineer, Machine Learning Engineer, Business Intelligence Analyst, AI Researcher, and Data Analyst in industries like technology, finance, healthcare, marketing, and government sectors.
You will develop expertise in data analysis, AI model development, machine learning algorithms, cloud computing, and deep learning, along with critical thinking, problem-solving, and programming proficiency.
Students will gain hands-on experience with Python, R, TensorFlow, PyTorch, SQL, Hadoop, Spark, AWS, and Google Cloud AI services.
While prior programming experience is beneficial, the program includes introductory coding courses to help students with little or no background in programming.
Data Science & AI professionals are in high demand across various industries, including tech companies, healthcare, finance, e-commerce, manufacturing, cybersecurity, and government agencies.
B.Sc in Data Science & AI
B.Sc in Data Science & AI
Program Overview
Why pursue a B.Sc in Data Science & AI from FLISM?
Key Highlights
Program Objectives
Curriculum
Frequently Asked Questions
100% Online Program
24*7 Access
Comprehensive Curriculum
Networking Opportunities
- Develop expertise in data analytics, machine learning, and deep learning.
- Gain proficiency in programming languages such as Python, R, and SQL.
- Understand big data processing techniques and cloud computing platforms.
- Build and deploy AI models for automation, forecasting, and decision-making.
- Enhance problem-solving and analytical thinking using data-driven methodologies.
- Master ethical considerations and responsible AI usage in business and research.
- Introduction to Programming (Python & R)
- Linear Algebra for Data Science
- Probability & Statistics
- Fundamentals of Data Science
- Database Management Systems (SQL)
- Data Structures and Algorithms
- Big Data Technologies
- Exploratory Data Analysis
- Ethics in AI & Data Privacy
- Data Visualization Techniques
- Machine Learning Fundamentals
- Cloud Computing for Data Science
- Time Series Analysis
- Artificial Intelligence & Neural Networks
- Research Methodology in Data Science
- Deep Learning & Natural Language Processing (NLP)
- Business Intelligence & Data Warehousing
- Reinforcement Learning
- Predictive Analytics
- Advanced Statistical Methods
- Computer Vision & Image Processing
- AI in Healthcare & Finance
- Elective I*
- Elective II*
- Capstone Project I
- AI Ethics & Societal Impact
- Robotics & Automation
- Elective III*
- Elective IV*
- Capstone Project II