Bachelor of Science (B.Sc) in Data Science

B.Sc. Data Science is a three-year UGC recognized undergraduate Program offered by the Department of Computer Applications. This Program is a study that deals with a large volume of data and its processing, analyzing and visualizing the data using modern tools and techniques. The students can acquire the ability to develop strategies for large data handling and it provides tremendous career opportunities in the future for them.

The curriculum is uniquely framed to provide theoretical and practical exposure in the field of Data Science. The course in the curriculum includes, Data Science Fundamentals, Data Analysis, Python For Data Science, Data Analytics Using R, Business Analytics, Data Handling And Visualization, Big Data And Analytics, Machine Learning, Deep Learning, Techniques And Tools For Data Science etc.,The students will acquire the knowledge to process, analyze, improve and enrich the data to make informed decisions for the company.

• 6 semesters (3 years)
• Credit based
• Electives to be chosen in 3^rd, 4^th, 5^th and 6^th semesters
• Mini Project in 5^th semester
• Internship and Project work in 6^th semester

Vision:

The Department of Computer Applications aims to transform aspiring students into software professionals with a high degree of technical skills and to inculcate a research mindset.

Mission:

• To provide strong theoretical foundations complemented with extensive practical training.
• To design and deliver curricula to meet the changing needs of the industry.
• To establish strong collaborations with industry, R&D, and academic institutes for trainingand research.
• To promote the all-round development of the students through interaction with alumni and industry.

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

The Program Educational Objectives (PEOs) of the Computer Applications are listed below:

• PEO 1: To prepare graduates to be successful professionals in industry, government, academia, research, entrepreneurial pursuit, and consulting firms.
• PEO 2: To prepare graduates to achieve peer recognition, as individuals and as team players, through demonstration of good analytical, design, implementation, and interpersonal skills.
• PEO 3: To prepare graduates to contribute to society as broadly educated, expressive ethical, and responsible citizens with proven expertise
• PEO 4: To prepare graduates to pursue life-long learning to fulfil their goal.

PROGRAM OUTCOMES (PO’S)

(To be achieved by the student after every semester/year/and at the time of graduation)
At the end of this program, graduates will be able to

• Computer knowledge: Apply the knowledge of mathematics, and computer Fundamentals to IT applications.
• Design/Development of solutions: Design solutions for IT applications using the latest technologies and develop and implement the solutions using various latest languages.
• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex IT applications with an understanding of the limitations.
• Environment and sustainability: Understand the impact of the IT analyst solutions in societal and environmental contexts, and demonstrate the knowledge and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PROGRAM SPECIFIC OUTCOMES (PSO’S):

• PSO-1: Apply mathematical, conceptual knowledge of computing and analytical skills to demonstrate data analytics of real-world applications.
• PSO-2: Hands-on experience with appropriate data analytics tools to enhance their knowledge in the field of data science.
• PSO-3: Equipped with creative and technical skills in various domains of Data Handling, Predictive Modelling, and Data Visualization.
  
   

A pass in 12^th Standard with Computer Science or Mathematics or Statistics or Business Mathematics courses.

Profile

Dr.I.Lakshmi

Ms.Praisy

Ms.T.Vani