Computer Science Statistics is an undergraduate program that takes 3 years, and it offers students practical knowledge in both computer science and statistics. The curriculum also consists in the classes devoted to programming languages such as C, C++, Java, data structures and algorithms, operating systems, the principles of database management systems, probability, statistical inference, statistical models, various techniques in data mining, data visualization. The students are able to use computation and statistical tools in analysing the big data sets.
Listed below are the entrance exams accepted for admission to the B.Sc Computer Science Statistics program: NEET, JEE Main, CUCET, state level, and any individual national/University level tests. Several institutes take merit list based on candidates’ scores in class 12th board in physics, mathematics and computer science /informatics practices and then the institute gives an opportunity to write a test or appear for interview.
Highlight | Details |
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Full Form | Bachelor of Science in Computer Science Statistics |
Duration | 3 Years |
Course Level | Undergraduate |
Eligibility | 10+2 with Science stream (Physics, Chemistry, Mathematics) with a minimum of 50% marks from a recognized board |
Top Colleges | Indian Statistical Institute, Kolkata; St. Xavier's College, Mumbai; Loyola College, Chennai; Christ University, Bangalore |
Entrance Exam | ISI Entrance Exam, JEE Main, CUCET |
1. Candidate must have completed their 10+2 or equivalent examination in any stream from any recognized board with minimum of 50% total marks.
2. Mathematics is one of the subjects that is eligible to be taken at the 10+2 level for some universities.
3. The minimum age requirement necessary to join is 17 years; however, this may differ depending on the specific university’s policies.
4. Some universities look at their own entrance test for admitting the candidates whereas some consider the score of 10+2.
5. Some universities do demand that their students produce a physical fitness certificate before they granted admission.
6. According to the norms of Government of India, few seats are available for the candidates of the reserved categories.
Subject | Important Topics |
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Mathematics | Calculus, Linear Algebra, Probability Theory, Statistical Methods |
Programming Fundamentals | Programming Concepts (C/C++/Java), Data Structures, Algorithms |
Computer Organization | Digital Logic, CPU Architecture, Memory Systems, Assembly Language |
Database Management Systems | Relational Database Concepts, SQL Queries, Database Design, Normalization |
Operating Systems | Process Management, Memory Management, File Systems, Virtualization |
Statistics | Descriptive Statistics, Inferential Statistics, Regression Analysis, Experimental Design |
Data Structures and Algorithms | Linked Lists, Trees, Graph Algorithms, Sorting and Searching Techniques |
Probability and Random Processes | Probability Distributions, Markov Chains, Queuing Theory, Simulation Techniques |
Machine Learning | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, Dimensionality Reduction) |
Software Engineering | Software Development Life Cycle (SDLC), Requirements Engineering, Software Testing |
Job Title | Skills Used | Average Salary (LPA) |
---|---|---|
Data Scientist | Machine Learning, Data Analysis, Programming | 5 - 10 |
Business Intelligence Analyst | Data Visualization, Data Mining, Statistics | 4.5 - 8 |
Quantitative Analyst | Financial Modeling, Statistical Analysis, Programming | 5 - 9 |
Risk Analyst (Quantitative) | Statistical Modeling, Risk Management, Programming | 5 - 8.5 |
Software Engineer (Data-Driven) | Software Development, Database Management, Statistics | 4.5 - 8 |