BCA Data Science is a unique program that combines the fields of computer science, mathematics and statistics. The objective of this program is to prepare students to analyze data effectively and enable data-driven decisions. The program provides students with the training they need in data collection, exploration, manipulation and storage, analysis, and presentation in order to navigate data-rich workplace environments. It enhances the mathematical, analytical and technical skills to interpret and understand big complex data sets and their relevance to real-life decisions. The industry-oriented curriculum equips the students with hands-on training in the fields of knowledge discovery, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, programming and visualization tools.
Programme Overview
BCA Data Science is a unique program that combines the fields of computer science, mathematics, and statistics. The objective of this program is to prepare students to analyze data effectively and enable data-driven decisions. The program provides students with the training they need for data collection, exploration, manipulation, storage, analysis, and presentation in order to navigate data-rich workplace environments. It enhances the mathematical, analytical, and technical skills to interpret and understand big, complex data sets and their relevance to real-life decisions. The industry-oriented curriculum equips the students with hands-on training in the fields of knowledge discovery, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, programming, and visualization tools.
Course Curriculum
01Applied Mathematics - MAT1201
02Problem Solving using C - CSA1500
03Problem Solving using C Lab - CSA1501
04Digital Computer Fundamentals - CSA1200
05Web Design and Development - CSA1502
06Foundations of English Communication - ENG1902
07Introduction to Soft Skills - PPS1001
01Programming in Python - CSA1503
02Statistical Methods and Techniques - MAT1202
03Data Structures - CSA2500
04Data Structures Lab - CSA2501
05Essentials of Writing Skills - ENG1913
06Essentials of Data Science - CSA1203
07Computer Networks - CSA2502
08Computer Organization - CSA1201
01Relational Database Management Systems - CSA2503
02Relational Database Management Systems Lab - CSA2504
03Object Oriented Programming using Java - CSA1504
04Data Modelling and Visualization - CSA2515
05Analysis of Algorithms - CSA2505
06Operating Systems and Unix Programming - CSA2506
07Operating Systems and Unix Programming Lab - CSA2507
08Software Engineering - CSA1202
09Environmental Studies - CHE7601
10Design Thinking and Innovation - CSA1204
01Machine Learning Algorithms - CSA2517
02Machine Learning Algorithms Lab - CSA2518
03Android Mobile Application Development - CSA2511
04Data Management using Cloud - CSA2509
05Database System Administration - CSA2519
06Discipline Specific Elective – I - CSAXXXX
07Discipline Specific Elective – II - CSAXXXX
08Problem Solving through Aptitude - PPS3001
09Indian Constitution - LAW7601
01Data Mining - CSA1703
02Data Analysis using R Programming - CSA2516
03Discipline Specific Elective – IV - CSAXXXX
04Discipline Specific Elective – V - CSAXXXX
05Discipline Specific Elective – VI - CSAXXXX
06Internet of Things - CSA2212
07Multi-Disciplinary Elective – I - CSAXXXX
08Summer Internship - CSA7000
01Virtualization and Cloud Infrastructure - CSA2520
02User Interface Design - CSA2211
03Discipline Specific Elective – VI - CSAXXXX
04Project - CSA7300
Programme Educational Objectives
After three years of successful completion of the program, the graduates shall be:
PEO 01: Demonstrate success as a computer professional with innovative skills, having moral and ethical values.
PEO 02:Engage in lifelong learning through software development.
PEO 03: Serve as a leader in the profession through consultancy, extension activities and/ or entrepreneurship.
Programme Outcomes (POs)
On successful completion of the Program, the students shall be able to:
PO 1:Application of Domain Knowledge: Apply domain knowledge such as mathematics, science and software engineering fundamentals into the Computer Application related professions.
PO 2: Problem Solving & Analysis: Identify, Formulate, Analyse and Solve Complex Scenarios related to Computer Applications.
PO 3:Design/development of Activities: Conceive, Design and Develop various activities of Computer Applications.
PO 4:Conduct Investigations of Events: Carry out Investigation of an event and draw logical conclusions based on critical thinking and analytical reasoning.
PO 5: Modern Tool usage: Effectively apply relevant ICT Tools and digital tools to carry out Computer Application Attributes.
PO 6: Research: Identify suitable Research Methods and report the findings.
PO 7: Apply the knowledge of the values and beliefs of multicultural society and a global perspective in the profession.
PO 8: Identify ethical issues and embrace ethical values in conduct of Profession.
PO 9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: Express thoughts and ideas effectively in writing and oral communication.
PO 11: Ability to work independently, identify appropriate resources required for a project, and manage a project through to completion.
PO 12: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of societal and technological change.
Programme Specific Outcomes
On successful completion of the Program, the students shall be able to:
PSO-1: [Data Analysis]: Capable of demonstrating comprehensive knowledge using statistical and machine learning techniques to analyze data and derive meaningful insights and patterns.
PSO-2: [Design/ Development of Solutions]: Identify, formulate, and apply the knowledge of Machine Learning algorithms, Deep Learning algorithms, and Big Data technologies and tools for processing and analyzing large datasets.
PSO-3: [Data Science Applications]: Students should be able to apply data science techniques and translate data insights into actionable recommendations in specific domains, such as finance, healthcare, marketing, etc.
Specialized Data Science Curriculum – Covers Big Data Analytics, Machine Learning, Statistical Computing, and Business Intelligence for data-driven careers.
Lucrative Career Opportunities – Prepares students for roles like Data Analyst, Business Intelligence Analyst, Data Scientist, and ML Engineer in top tech firms.
Industry-Relevant Skills – In-depth training in Python, R, SQL, Data Visualization, AI-driven Analytics, and Deep Learning frameworks.
Hands-on Learning – Real-world projects, case studies, internships, and collaborations with industry leaders for practical exposure and career readiness.
Career Opportunities
Data Analyst
Analyze and interpret data to provide insights and support decision-making.
Business Analyst
Identify business needs and propose data-driven solutions.
Data Scientist
Use advanced analytical techniques and algorithms to interpret complex data.
Data Engineer
Design and build systems for collecting, storing, and analyzing data.
Machine Learning Engineer
Develop algorithms and models for machine learning applications.
AI Specialist
Design and implement artificial intelligence systems and solutions.
Big Data Analyst
Analyze and interpret large datasets to identify trends and patterns.
Data Visualization Specialist
Create visual representations of data to facilitate understanding.
Statistical Analyst
Apply statistical methods to analyze and interpret data.
Operations Analyst
Evaluate operational processes and recommend improvements based on data.
Your Next Move Awaits
Begin an extraordinary journey with Presidency University.
BCA in Data Science is a 3-year undergraduate programme that combines core computer application skills with data analysis, machine learning, and statistical techniques. It prepares students to manage and analyze large volumes of data to derive meaningful insights.
The career opportunities for BCA Data Science graduates includes Data Analyst/Engineer/Scientist, ML Engineer, AI Specialist, Big Data Analyst, Data Vizualisation Analyst, Statistical Analyst, Operations Analyst and many more.
For data science, Python is the most essential language due to its simplicity and powerful libraries. R is useful for statistics and visualization, while SQL is crucial for managing and querying databases. Java, Scala, and Julia are valuable for big data and high-performance tasks. Python and SQL are the best starting points.
The salary range for entry-level Data Science professionals in India typically falls between ₹4 LPA to ₹8 LPA.
+91 9022092222
admission@presidencyuniversity.in
Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560119, India
+91 9022092222