Bachelor of Science in Data Science – Artificial Intelligence
Bachelor of Science in Data Science – Artificial Intelligence
The Bachelor of Science in Data Science is a 4-year program that equips the graduates with the necessary knowledge and skills to draw sound conclusions from data in an era where all industries are data-driven. This academic programme is designed to allow students to comprehend the entire life cycle of data and prepare them to compile, interpret and act on data based on computational and statistical modelling. During the first three years of the study, students will study core modules in data science, such as programming languages, algorithms, data mining, and business intelligence tools. In their final year, students will specialise in the Artificial Intelligence Pathway. The Artificial Intelligence Pathway will allow students to utilise cutting-edge technologies to manage large amounts of data to gain insights and facilitate decision-making. This involves gaining hands-on experience by learning related topics, such as machine learning, robotics, and human-computer interactions.
Bachelor of Science in Data Science – Artificial Intelligence
The Bachelor of Science in Data Science is a 4-year program that equips the graduates with the necessary knowledge and skills to draw sound conclusions from data in an era where all industries are data-driven. This academic programme is designed to allow students to comprehend the entire life cycle of data and prepare them to compile, interpret and act on data based on computational and statistical modelling. During the first three years of the study, students will study core modules in data science, such as programming languages, algorithms, data mining, and business intelligence tools. In their final year, students will specialise in the Artificial Intelligence Pathway. The Artificial Intelligence Pathway will allow students to utilise cutting-edge technologies to manage large amounts of data to gain insights and facilitate decision-making. This involves gaining hands-on experience by learning related topics, such as machine learning, robotics, and human-computer interactions.
Programme Structure
Get detailed insights into tuition fees, payment options, and programme structure. Plan your academic journey with clarity and make informed decisions before applying. Click below to view the complete fee breakdown and course structure.
Semester One
- Linear Algebra (MATH1101)
- Principles of Marketing (MKTG1101)
- Principles of Accounting (ACCT1101)
- Fundamentals of Computing and Information Systems (DTSC1101)
- Technical Writing (BCOM1101)
Semester Two
- Calculus 1 (MATH1202)
- Introduction to Programming (DTSC1202)
- Quantitative Methods for Business (DTSC1203)
- Principles of Business Management (MNHR1201)
- Business Communication (BCOM1202)
Semester Three
- Algorithms and Problem-Solving (DTSC2104)
- Fundamentals of Data Science and Analytics (DTSC2105)
- Calculus 2 (MATH2103)
- Principles of Operating Systems (DTSC2106)
- Research Methodology (RSMT2101)
Semester Four
- Advanced Programming (DTSC2207)
- Introduction to Artificial Intelligence (DTSC2208)
- Data Engineering (DTSC2209)
- Database Management (DTSC2210)
- Entrepreneurship (MNHR2211)
Semester Five
- Data Security & Privacy (DTSC3111)
- Fundamentals of Big Data (DTSC3112)
- Data Warehouse Design (DTSC3113)
- Project Management (MNHR3115)
- Organizational Behaviour (MNHR3116)
Semester Six
- Data Mining and Information Retrieval (DTSC3214)
- Cloud Computing for Data Science (DTSC3215)
- Advanced Statistics for Data Science (DTSC3216)
- Employability skills (MNHR3220)
- Internship (INTR3200)
Semester Seven
- Applied Machine Learning (DTAI4101)
- Human-Computer Interaction (DTAI4102)
- Natural Language Processing (DTAI4103)
- Specialization Elective
- Graduation Project-1 (RSMT4102)
Semester Eight
- Deep Learning (DTAI4204)
- Computer Vision (DTAI4205)
- Specialization Elective (DTAI4206)
- Business Law (BLLAW4200)
- Graduation Project-2 (RSMT4203)
Future Career Opportunities
The program prepares graduates for successful career paths in specialized roles within the fields of finance and investment
- Data Scientist
- Data Mining Analyst
- Fraud Analyst
- Data Governance Specialist
- Data Engineer
- Data Management Specialist
- Data Controller
- Data Practitioner
- Data Protection Specialist
- Big Data Specialist
- Data Centre Specialist
- Data Visualisation Specialist
- ETL Developer
- MLOps Engineer
- Cloud Data Engineer
- Infrastructure Data Engineer
- FinTech Engineer
- Security Management Specialist (Cybersecurity)
- Enterprise Information Architect
- Operations Research Analyst
- Web Analyst
- Marketing Analyst
- Software Engineer
- System Analyst
- AI Governance / Data Ethics Specialist
- AI Engineer
- AI Research Engineer
- Machine Learning Engineer
- Machine Learning Scientist
- Intelligent Systems Specialist
- AI Consultant
- IoT Specialist
- Smart City Advisor
- Metaverse Advisor
- Algorithm Bias Auditor
- Robotic Process Automation (RPA) Developer
- Human–Machine Teaming Manager
- AI Product Specialist
- Autonomous Systems Analyst