BSc Data Science Syllabus

BSc Data Science Subjects

Students need to learn the subjects in order to study the different subject of BSc Data Science. The subjects are mentioned below:

 BSc Data Science First Year Subjects

• Linear Algebra: Linear Algebra is related to the mathematical structures closed under the operations of addition and scalar multiplication. It includes the theory of systems of linear equations, determinants, linear transformations, etc.
• Probability and Inferential Statistics: Inferential statistics is based on the probability of a certain outcome by chance. Here, outcome refers to the result observed.
• Basic Statistics: The basics of statistics include the measure of central tendency and the measure of dispersion. Mean, median and mode are the central tendencies and dispersions include variance and standard deviation. 
• Data Structures and Program Design in C: Data Structures in C are used to store data in an organized manner. C Programming language has many data structures such array, stack, linked list, tree, etc. 
• Computer Organization and Architecture: Computer organization studies the internal working, and implementation of a computer system. Architecture in the computer system refers to the external visual attributes of the system.

BSc Data Science Second Year Subjects

• Data Warehousing and Multidimensional Modeling: It represents data in the form of data cubes. It is defined by dimensions and facts. 
• Natural Language Processing: Natural language processing is concerned with the interactions between computers and human language. It means how to program computers to analyze large amounts of natural language data. 
• Genomics: Study of the total or part of the genetic and epigenetic sequence information of organisms is known as genomics. It understands the structure and function of the sequences and of downstream biological products.

BSc Data Science Third Year Subjects

• Machine Learning II: Machine Learning teaches computers to learn from experience. It uses computational methods to learn information directly from data and not rely on the predetermined equation.
• Big Data Analytics: It describes the process of uncovering patterns, and correlations in large amounts of raw data which in turn help make data-informed decisions. 
• Data Visualizations: The graphical representation of information and data is data Visualization. It uses visual elements like charts, graphs, and maps.
• Programming in Python Lab: Programming in Python Lab, students learn and practice basic python programming. They expand their skillset by learning and solving basic python problems.

IIT Madras BSc Data Science syllabus

BSc Data Science syllabus Mumbai University

BSc Data Science Syllabus in Andhra University 

BSc Data Science in Osmania University 

BSc Data Science Teachings Methods

There are various techniques and methodology used for teaching BSc Data Science. The faculty of this department can teach with a mixture of traditional lectures, modern lectures, practical sessions, seminars and group discussions as well. Below are the teaching methodology and strategies:

• Lectures
• Practical Sessions
• Research Papers
• Seminars
• Group Discussions
• Internships

BSc Data Science Books