Bachelor of Science in Data Science and Analytics
- ID: BDS2024
- 6 Semesters (3 yrs)
- Min Qualification : +2 or equivalent
The Bachelor of Science in Data Science and Analytics is a comprehensive program designed to equip students with the essential skills to manage, analyze, and interpret complex data. Through a blend of theory and practical applications, students gain foundational knowledge in statistics, machine learning, data visualization, Database Management and programming language like Python. The curriculum emphasizes hands-on experience with real-world datasets, preparing graduates for a variety of roles in data analysis, business intelligence, and predictive modeling. This program aims to cultivate critical thinkers and data professionals ready to make data-driven decisions and contribute to advancements in sectors such as finance, healthcare, technology, and government.
The Bachelor of Science in Data Science and Analytics programme enables learners to:
- Develop data processing skills that can lead them to jobs like data processing and manipulating, data analyst, Business Intelligence (BI) Analyst, Quantitative Analyst (Quant), Data Visualization Specialist.
- Do data collection, consolidation and categorization from different sources that can lead them to jobs like Data Engineer.
- Quite knowledgeable in various computer applications and the latest developments in IT and communication systems.
- Develop skills in software development so as to enable the Data Science and Analyst graduates to take up self-employment in Indian and global markets.
- Recognize the need for professional development
- Develop sensitivity and awareness which leads to commitment and courage.
Semester | Course type | Name of the course |
S1 | Discipline Core | Introduction to Information Technology |
Discipline Core | Computational Foundations for Data Science | |
Practical Core | Essential Excel Skills for Data Analysis | |
English Language Core Course 1 | Reading & Writing English | |
Ability Enhancement Compulsory Course | Environmental Studies | |
S2 | Discipline Core | Introduction to Data Science and Analytics |
Discipline Core | Database Management System | |
Modern Indian Languages | മലയാള സാഹിത്യം : കവിത -കഥ - ഉപന്യാസം - നോവൽ | |
Hindi Prose and Structure of Hindi Language | ||
Prose and Drama (Sanskrit) | ||
Functional Arabic | ||
Ability Enhancement | English for Communication | |
പ്രായോഗിക മലയാളം | ||
Everyday Hindi | ||
Communicative Sanskrit | ||
Communication in Arabic | ||
S3 | Discipline Core | Data Structures |
Discipline Core | Introduction to Python Programming | |
Practical Core | Programming with Python | |
English Language Core Course 2 | Literature and the Contemporary World | |
Skill Enhancement Course | Data Visualization | |
Skill Enhancement | Humanism and Logic | |
S4 | Discipline Core | Machine Learning |
Discipline Core | Big Data Analytics | |
Practical Core | Machine Learning Lab | |
Skill Enhancement Course (SEC) | Data Engineering with Python | |
Modern Indian Languages (MIL)) (Learners can choose any one. The same language should be chosen for MIL- II) | (Malayala Sahithya Mathrukakal: Aathmakadha, Jeevacharitram,Yathravivaranam, Anubhavasahithyam) | |
हिंदी पद्य साहित्य और अनुवाद | ||
महाकाव्यं गद्यकाव्यं च (Mahakavyam Gadyakavyam cha) | ||
Literature in Arabic | ||
Generic Electives - I (Learners can choose any one. General Electives from Core Discipline cannot be chosen) | (Aadhunika Malayala Sahithya Charithram) | |
Appreciating Literature | ||
व्यावहारिक हिन्दी (Communicative Hindi) | ||
संस्कृतसोपानम् (Samskruthasopanam) | ||
Modern Standard Arabic | ||
S5 | Discipline Core | Introduction to Deep Learning |
Discipline Specific Elective Courses (DE) | Data Mining and Data Warehousing | |
Introduction to Cloud Computing | ||
Data Preparation and Data Cleaning | ||
Natural Language Processing (NLP) | ||
Generic Electives - II (Learners can choose any one. General Electives from Core Discipline cannot be chosen) | Modernization of Kerala | |
Banking | ||
Introduction to Sociology | ||
Economics for everyday life | ||
Introduction to the philosophy of Sree Narayana Guru | ||
Entrepreneurship and startup | ||
S6 | Discipline Specific Elective Courses (DE) | E-Commerce and E-Governance |
Cloud Computing Architecture | ||
Discipline Specific Elective Courses (DE) | Fundamentals of Big data | |
Introduction to Information Security | ||
Discipline Specific Elective Courses (DE) | Cyber Crime | |
Communication and Networking | ||
Dissertation / Project | Dissertation / Multimedia Project |