B.tech. In Data Science,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities
B.Tech in Data Science is an undergraduate program that trains students in the field of Data Science. Here are some highlights of the course:
B.tech. In Data Science Entrance Exam: Different universities may have their own entrance exams. Some popular entrance exams for B.Tech in Data Science are JEE Main, BITSAT, VITEEE, SRMJEEE, etc.
B.tech. In Data Science Admission: The admission process generally includes filling up the application form, appearing for the entrance exam, and participating in the counselling process. Some universities also conduct their own admission tests.
B.tech. In Data Science Eligibility: To be eligible for B.Tech in Data Science, a candidate should have completed 10+2 with PCM (Physics, Chemistry, Mathematics) as the main subjects. The minimum percentage required may vary from university to university.
B.tech. In Data Science Duration: B.Tech in Data Science is a 4-year undergraduate program.
B.tech. In Data Science Selection Criteria: The selection criteria may vary from university to university. Generally, the selection is based on the performance in the entrance exam and 10+2 marks.
B.tech. In Data Science How to Apply: The application form can be filled online on the university website.
B.tech. In Data Science Application Process: The application process generally includes filling up personal and educational details, uploading scanned documents, and paying the application fee.
B.tech. In Data Science Fee: The fee for B.Tech in Data Science may vary from university to university. It can range from Rs. 2 lakhs to Rs. 10 lakhs per annum.
B.tech. In Data Science Syllabus: The syllabus generally includes topics like mathematics, statistics, programming languages, data structures, database management, machine learning, artificial intelligence, etc.
B.tech. In Data Science Salary and Jobs: The salary of a B.Tech in Data Science graduate can vary from Rs. 4 lakhs to Rs. 20 lakhs per annum depending on the job profile and the company. Some popular job profiles for B.Tech in Data Science graduates are Data Scientist, Data Analyst, Business Analyst, Machine Learning Engineer, etc.
B.tech. In Data Science Career Opportunities: The career opportunities for B.Tech in Data Science graduates are vast. They can work in industries like IT, Healthcare, Finance, Retail, E-commerce, etc. They can also pursue higher studies like M.Tech, MBA, Ph.D., etc.
In conclusion, B.Tech in Data Science is a promising undergraduate program that can provide students with a strong foundation in the field of Data Science and open up many career opportunities.
B.Tech in data science is an undergraduate-level course. Data science is a multi-disciplinary field that utilizations logical techniques, procedures, calculations and frameworks to remove Data and bits of knowledge from organized and unstructured Data. Data science is a similar idea as Data mining and enormous Data: "utilize the most dominant equipment, the most dominant programming frameworks, and the most proficient calculations to take care of issues".
Data science is an "idea to bind together measurements, Data examination, AI and their related techniques" so as to "comprehend and investigate genuine wonders" with Data. It utilizes systems and speculations drawn from numerous fields inside the setting of arithmetic, measurements, software engineering, and data science. Turing grant victor Jim Gray envisioned Data science as a "fourth worldview" of science (observational, hypothetical, computational and now Data driven) and attested that "everything about science is changing a result of the effect of data innovation" and the Data downpour. In 2015, the American Statistical Association distinguished database the board, insights and AI, and circulated and parallel frameworks as the three developing fundamental expert networks.
Qualification
Job Areas
NOTE:- Every college issues a list of documents required. Make sure you have all documents on this list when you apply. Remember to take attested photocopies of all the above. Don't forget to take with you the amount to pay for fees in cash or demand draft.
Given below are few of the important highlights of the program.
Program Full Name | Bachelor of Technology in Data Science |
Program Level | Bachelor Degree Courses |
Duration of the Program | 4 Years |
Examination Type | Year |
Eligibility | 10+2 with PCM or PCB with minimum 50% marks from any recognized board |
Admission Process | Entrance Exam and Merit Based |
Average Program Fee | Upto Rs. 1 Lakh |
Syllabus of Management as prescribed by various Universities and Colleges.
Paper Code | Subjects of Study |
1 | Mathematics I |
2 | Physics |
3 | Programming and Data structures |
4 | Big Data Overview |
5 | Basic Electronics Engineering |
6 | Design Thinking |
7 | Practical |
8 | Physics Lab |
9 | Programming and Data Structures-Lab |
10 | Basic Electronics Engineering Lab |
11 | Mathematics II |
12 | Chemistry |
13 | Advanced Data Structures |
14 | Database Management Systems |
15 | Environmental Science |
16 | English Communication |
17 | Practical I |
18 | Advanced Data Structures-Lab |
19 | Chemistry Lab |
20 | Database Management Systems Lab |
21 | Scalable Storage |
22 | Design and Analysis of Algorithms |
23 | Computer System Architecture |
24 | Advanced Database Management Systems |
25 | Engineering Mechanics |
26 | Operating Systems |
27 | Functional Thinking I |
28 | Practical I |
29 | Advanced Database Management Systems Lab |
30 | Design and Analysis of Algorithms Lab |
31 | Operating Systems Lab |
32 | Functional Thinking I Lab |
33 | Webinar: Software Development Tools |
34 | Software Engineering & Project management |
35 | Micro Processor & Embedded Systems |
36 | Distributed Ingestion |
37 | Advanced Programming using Java |
38 | Distributed Analysis |
39 | Open Elective-1 |
40 | Practical II |
41 | Micro Processor & Embedded Systems Lab |
42 | Distributed Ingestion lab |
43 | Advanced Programming using Java I |
44 | Distributed Analysis Lab |
45 | Webinar: How to write professional code? |
46 | Object Oriented Analysis and Design |
47 | Computer Graphics |
48 | Distributed Processing I |
49 | Functional Thinking II |
50 | Formal Languages and Automata Theory |
51 | Program Elective-1: Scalable Data Science |
52 | Practical III |
53 | Distributed Processing I Lab |
54 | Computer Graphics Lab |
55 | Object Oriented Analysis and Design Lab |
56 | Minor Project I |
57 | Functional Thinking II Lab |
58 | Webinar: Big Data and Data Science: Two sides of the same coin |
59 | Artificial Intelligence |
60 | Data Communication and Computer Networks |
61 | Distributed Processing II |
62 | Data Exploration at Scale |
63 | Program Elective II: Big Data on Cloud |
64 | Open Elective- HSS |
65 | Practical IV |
66 | Distributed Processing II Lab |
67 | Data Exploration at Scale Lab |
68 | Data Communication and Computer Networks Lab |
69 | Minor Project II |
70 | Training and Certification |
71 | Webinar: Machine Learning and Neural Networks |
72 | Cryptography and Network Security |
73 | Streaming Processing |
74 | Program Elective III: Big Data and Develops Integration |
75 | Open Elective II |
76 | Practical VI |
77 | Cryptography and Network Security Lab |
78 | Big Data and Develops Integration Lab |
79 | Major Project I |
80 | Summer Internship |
81 | Program Elective-4: Distributed Graph Processing |
82 | Big Data Security |
83 | Scalable Architectures in Real world |
84 | Practical VII |
85 | Major Project II |
Mentioned below are some states in India that offer the program.