Course Description
The goal of this course is for students to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. This course will provide the learning to integrate and apply statistical and computational principles to solve real-world problems with large-scale data science.
Program Overview
Provides sound knowledge on Data Science functions used in business analytics. Imparts solid analytical skills on latest technologies. Effective study for students to industry relevant data learning functions.
Eligibility Criteria
Passed or appeared in Higher Secondary or equivalent examination (CBSE, ISC, A Levels or any other equivalent Board Examination) with Mathematics as compulsory subject will be preferred. Students who are due to appear to class XII final exams/awaiting results may be given provisional admission depending on their CET score. Admissions are strictly on merit basis.
Curriculum (Course Modules)
SEM I: Fundamental of Computing, Mathematics for Data Scientists-I, English Communication, Introduction to Data Science, Computational Statistics-I.
SEM II: Mathematics for Data Scientists-II, Data Structures and Algorithms, Environmental Science, Computational Statistics-II, Management Concepts & Marketing Research.
SEM III: Database Management Systems & Data Manipulation (Using PL/SQL Programming), Inferential Statistics, Operating System & system programming (LINUX), Computer Networks & cryptography, Object Oriented Concepts.
SEM IV: Times Series Analysis, Machine Learning Algorithms - I (Tool Based), Artificial Intelligence, Software Engineering & software design with UML, Exploratory & Big Data Analytics.
SEM V: Machine Learning Algorithms - II (with Data visualization-Tool Based), Data Science Project Management & Industry use cases, Decision Support Systems and Actionable Intelligence, Cognitive Science & Analytics, Social Web Analytics (or Web, Internet of Things, and Social Media Mining), Bioinformatics.
SEM VI: Advanced Data Analytics (Stream, Sensor (IoT) and Spatio-temporal Analysis) & Real Time data Processing, Advance Neural Networks & Deep Learning, Predictive Modelling (with SAS, SPSS), Data Mining & Data Warehouse.
Duration
3 Years- Full Time