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Bachelor of Science in Information Technology on Data Science

3 Years Degree Programme

Faculty

Faculty of Engineering and Technology

Programme Type

Degree Programme

Duration

3 Years

Eligibility

10+2 in Science Stre...

Overview of the Programme

The programme B.Sc.IT on Data Science at AdtU aims to develop strong mathematical, statistical, computational and programming skills in the student. This programme has been developed after taking inputs from the industry sector about current methods, platforms, software and data, to ensure that the students get fully prepared for the workplace upon graduation. The programme focuses on the creation and application of powerful new methods for collecting, organizing, analyzing and making discoveries from any source and volume of data.

Programme Outcomes

PO1: Basic Data Science Knowledge: Apply knowledge of Mathematics, Statistics, and Data Science concepts to the solution of ICT problems.

PO2 : Design & Development of Data Science Solutions: Design and development of solutions for Data Science problems using state-of-the-art techniques that meet specified needs with appropriate consideration for cultural, so ...

PO1: Basic Data Science Knowledge: Apply knowledge of Mathematics, Statistics, and Data Science concepts to the solution of ICT problems.

PO2 : Design & Development of Data Science Solutions: Design and development of solutions for Data Science problems using state-of-the-art techniques that meet specified needs with appropriate consideration for cultural, societal and environmental considerations.

PO3 : Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern Data Science tools including prediction and modelling with an understanding of the limitations.

PO4 : Environment and Sustainability: Understand the impact of professional IT solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PO5 : Ethics: Apply ethical principles and commit to professional ethics, responsibilities and norms.

PO6 : Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO7 : Communication: Communicate effectively with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

PO8 : Project Management and Finance: Demonstrate knowledge and understanding of Software Engineering and Project management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO9 : Life-long Learning: Recognize the need for and have the preparation and ability to Engage in independent and life- long learning in the broadest context of technological Change.

Course Structure

Semester 1

Course NameCourse CodeCredit
DIGITAL ELECTRONICSBIT1013
PROGRAMMING FOR PROBLEM SOLVINGBIT1023
FUNDAMENTALS OF COMPUTER APPLICATIONSBIT1033
PROGRAMMING FOR PROBLEM SOLVING LABBIT1121
FUNDAMENTALS OF COMPUTER APPLICATIONS LABBIT1131
ENGLISHHU1013
MATHEMATICS-IMA1014

Semester 2

Course NameCourse CodeCredit
DATA STRUCTURE USING CBIT2013
COMPUTER ORGANIZATION AND ARCHITECTUREBIT2023
ENVIRONMENTAL SCIENCEBIT2033
INTRODUCTION TO WEB TECHNOLOGYBIT2043
DATA STRUCTURELABBIT2111
WEB TECHNOLOGY LABBIT2141
MATHEMATICS-IIMA2014

Semester 3

Course NameCourse CodeCredit
DATABASE MANAGEMENT SYSTEMBIT3013
OPERATING SYSTEMBIT3023
GRAPH THEORYBIT3033
OBJECT-ORIENTED PROGRAMMING USING C++BIT3053
DBMS LABBIT3111
OOP LABBIT3151
ELECTIVE-I (STATISTICS AND PROBABILITY)BITDS3044

Semester 4

Course NameCourse CodeCredit
DESIGN ANALYSIS AND ALGORITHMBIT4013
INTRODUCTION TO PYTHON PROGRAMMINGBIT4023
COMPUTER NETWORKSBIT4044
PYTHON LABBIT4121
ELECTIVE-II (DATA SCIENCE FUNDAMENTALS)BITDS4033
DATA SCIENCE LABBITDS4131
TECHNICAL COMMUNICATION SKILLHU4013

Semester 5

Course NameCourse CodeCredit
SOFTWARE ENGINEERINGBIT5013
MINOR PROJECTBIT5214
ELECTIVE-III (ADVANCED PYTHON)BITDS5023
ELECTIVE-IV (MACHINE LEARNING)BITDS5033
ELECTIVE-V (STATISTICS IN DATA SCIENCE)BITDS5043
ADVANCED PYTHON LABBITDS5121
PROFESSIONAL EMPLOYABILITY ENHANCEMENT SKILLSHU5011

Semester 6

Course NameCourse CodeCredit
MAJOR PROJECTBIT6218
ELECTIVE-VI (BIG DATA ANALYTICS)BITDS6013
ELECTIVE-VII (DEEP LEARNING)BITDS6023
ELECTIVE-VIII (DATA VISUALIZATION)BITDS6033
BIG DATA LABBITDS61111

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