M.tech. Statistical Computing,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities
M.Tech. Statistical Computing is a postgraduate degree program that focuses on the use of statistical methods and techniques in computer science and data analysis. The program aims to equip students with the knowledge and skills required to analyze and interpret complex data sets and develop software solutions for data analysis.
M.tech. Statistical Computing Highlights:
M.Tech. Statistical Computing is a 2-year postgraduate program.
The program focuses on statistical methods and techniques, data analysis, and computer programming.
The program aims to provide students with the knowledge and skills required to analyze complex data sets and develop software solutions for data analysis.
Students who complete the program can pursue a career in the field of data analytics, software development, or research.
M.tech. Statistical Computing Entrance Exam:
Admission to M.Tech. Statistical Computing is generally done through national-level entrance exams like GATE (Graduate Aptitude Test in Engineering), JEE (Joint Entrance Examination), or other state-level exams.
M.tech. Statistical Computing Admission:
Eligibility for admission to M.Tech. Statistical Computing is a bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent with a minimum of 60% aggregate marks. Some institutes also require candidates to have a valid GATE score.
M.tech. Statistical Computing Duration:
The duration of the M.Tech. Statistical Computing program is 2 years, which is divided into 4 semesters.
M.tech. Statistical Computing Selection Criteria:
The selection of candidates for the M.Tech. Statistical Computing program is based on their performance in the entrance exam and their academic record.
M.tech. Statistical Computing How to Apply:
Candidates can apply for the M.Tech. Statistical Computing program through the official website of the institute they wish to join. They need to fill out the application form and submit it along with the required documents and application fee.
M.tech. Statistical Computing Application Form:
The application form for the M.Tech. Statistical Computing program is generally available on the official website of the institute. Candidates need to fill out the form with their personal and academic details and submit it online.
M.tech. Statistical Computing Application Process:
The application process for the M.Tech. Statistical Computing program typically involves the following steps:
Fill out the application form with personal and academic details.
Upload the required documents, such as educational certificates, photograph, and signature.
Pay the application fee online.
Submit the application form online.
M.tech. Statistical Computing Fee:
The fee for the M.Tech. Statistical Computing program varies depending on the institute. It is generally in the range of INR 1-2 lakhs per year.
M.tech. Statistical Computing Syllabus:
The syllabus for the M.Tech. Statistical Computing program typically includes the following subjects:
Probability and Statistics
Statistical Methods
Data Analysis and Visualization
Programming in R and Python
Statistical Inference
Machine Learning
Bayesian Statistics
Multivariate Analysis
Time Series Analysis
M.tech. Statistical Computing Salary and Jobs:
The salary for M.Tech. Statistical Computing graduates varies depending on the job profile and company. On average, the starting salary for a fresher is around INR 4-5 lakhs per annum. With experience, one can earn up to INR 10-15 lakhs per annum.
M.tech. Statistical Computing Career Opportunities:
M.Tech. Statistical Computing graduates can pursue a career in the following areas:
Data Analytics
Software Development
Business Analytics
Financial Analytics
Research and Development
Academics and Teaching
M.TECH. STATISTICAL COMPUTING is a 2 years postgraduate Computer Science program. Course is intended to furnish understudies with top to bottom hypothetical foundation and pragmatic preparing in software engineering, numerical figuring and scientific money. Alumni of this program will be prepared for vocations in programming enterprises, monetary establishments and government associations or to seek after research. Arithmetic and Computation tends to work at the interface between applied math, numerical calculation, and utilizations of frameworks – situated plans to the physical, organic, social, and conduct sciences, and underscores papers of a computational sort concentrating on new calculations, their investigation and numerical outcomes.
Eligibility
Job Types
NOTE:- Students who are admitted must bring all the original documents to with them to the Institute Campus. Students failing to present all relevant original documents upon request may be denied admission or later told to leave the university.
Given below are few of the important highlights of the program.
Program Full Name | Master of Technology in Statistical Computing |
Program Level | Master Degree Courses |
Duration of the Program | 2 Years |
Examination Type | Year |
Eligibility | B.Tech In Related Subject with 50% Marks from a recognized university |
Admission Process | Entrance Exam and Merit Based |
Average Program Fee | Rs. 1 Lakh - Rs. 2 Lakh |
Syllabus of Management as prescribed by various Universities and Colleges.
Paper Code | Subjects of Study |
1 | Switching Theory and Logic Design. |
2 | Computer Organization |
3 | Discrete Mathematics-I : Algebraic Structures |
4 | Probability and Statistics |
5 | Programming Techniques and Data Structures |
6 | Programming in an Assembly Language and Systems Programming (Assemblers, Microprocessors and Loaders) |
7 | Discrete Mathematics -II : Combinatorics, Graph Theory and Logic |
8 | Numerical Analysis |
9 | File Structures and File Processing |
10 | Principles of Programming Languages |
11 | Design and Analysis of Algorithms |
12 | Computer Architecture |
13 | Operating Systems |
14 | Theory of Automata, Languages, Computability and Complexity |
15 | Compiler Construction |
16 | Database Management Systems |
17 | Software Engineering |
18 | Computer Networks and Distributed Computing |
19 | Artificial Intelligence and Expert Systems |
20 | Computer Graphics |
21 | Cryptology and Data Security |
22 | Topics in Algorithmic Graph Theory and Discrete Optimization |
23 | Statistical Computing, Simulation and Modelling |
24 | Topics in Theory of Programming Languages and Methodology |
25 | Advanced Topics in Design and Analysis of Algorithms |
26 | Advanced Topics in Theory of Computation |
27 | Formal Logic with Applications to Computer Science |
28 | Multi-dimensional Searching and Computational Geometry |
29 | Advanced Topics in Compiling |
30 | Advanced Topics in Operating Systems |
31 | Advanced Topics in Data Base Theory and Applications |
32 | Parallel Processing : Architectures and Algorithms |
33 | Fault-Tolerant Computing |
34 | VLSI Design and Algorithms |
35 | Pattern Recognition and Machine Learning |
36 | Image Processing |
37 | Computer Vision |
38 | Digital Signal Processing |
39 | Robotics |
40 | Data Analysis for Remote Sensing |
41 | Logic Programming |
42 | Advanced Topics in Numerical Analysis |
43 | Statistical Methods |
44 | Topics in Operations Research Methods |
Mentioned below are some states in India that offer the program.