Data Science and Artiphysal Intelegance (B.Tech) is an revolutionary and specific programme which intends computer technological know-how, statistical recognition and technical technology. He has been built to put together a shala.
The direction covers the rules of pc technology, programming languages, and algorithms with an emphasis on facts analysis, machine learning, and AI programs Students delve into regions together with information preprocessing, predictive modeling, herbal language processing, and computer imaginative and prescient.
Stage | Description |
---|---|
Eligibility Check | Ensure you meet the academic background requirements (usually PCM with minimum marks) |
Application | Submit your online form with complete details and pay the application fee (if applicable) |
Entrance Exam (if applicable) | Take the university entrance exam or submit national/state-level scores |
Shortlisting | Based on application and exam scores |
Selection Process (if applicable) | Interviews, group discussions, or additional tests |
Merit List & Offer | Based on combined scores, receive offer letter if shortlisted |
Document Verification & Admission | Submit documents, pay fees to confirm your seat |
Educational Qualifications:
Minimum Percentage:
Entrance Exams:
Age Limit:
Nationality:
1. Joint Entrance Examination (JEE) Main:
2. Joint Entrance Examination (JEE) Advanced:
Tabulated below is the collection of the Top 10 Bachelor of Technology [B.Tech] (Data Science and Artificial Intelligence) Colleges in India with Fee Structure, including their key features.
Syllabus Name | Description |
---|---|
Mathematics for Data Science | Covers essential mathematical concepts like linear algebra, calculus, probability, statistics, and optimization. Emphasizes their application in data analysis, modeling, and machine learning. |
Programming for Data Science | Introduces core programming languages like Python and R, focusing on data manipulation, visualization, and algorithm implementation. Explores object-oriented programming concepts and advanced libraries relevant to data science. |
Data Structures and Algorithms | Provides a comprehensive understanding of fundamental data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming). Emphasizes their role in efficient data storage, retrieval, and processing. |
Database Management Systems | Delves into the design, implementation, and management of relational databases. Covers SQL queries, data modeling, database administration, and NoSQL databases. |
Statistics for Data Science | Focuses on statistical methods for data analysis, hypothesis testing, regression, and inference. Introduces statistical modeling techniques and their applications in real-world data science problems. |
Machine Learning | Explores various machine learning algorithms including supervised learning (linear regression, decision trees, support vector machines), unsupervised learning (clustering, dimensionality reduction), and ensemble methods. Emphasizes model selection, evaluation, and practical applications. |
Deep Learning | Introduces the fundamentals of deep learning architectures (neural networks, convolutional neural networks, recurrent neural networks). Covers training techniques, optimization algorithms, and applications in image recognition, natural language processing, and other domains. |
Big Data Analytics | Examines techniques for handling large-scale datasets. Covers distributed computing frameworks (Hadoop, Spark), data warehousing, data lakes, and large-scale data analysis tools. |
Data Visualization | Introduces principles and techniques for creating effective data visualizations using tools like Tableau, Python libraries, and interactive dashboards. Emphasizes communication of insights and storytelling through data visualizations. |
Domain-Specific Electives | Offers specialized courses tailored to specific areas of Data Science and AI, such as computer vision, natural language processing, healthcare analytics, and financial data analysis. |
Tabulated below is the collection of the Top 10 Colleges in India with Fee Structure, including their key features.
Name of the institute | Fees | Specialization |
---|---|---|
IIM Ahmedabad | INR 3,150,000 | -- |
Indian Institute of Science | INR 266,500 | -- |
IIT Madras | INR 1,350,000 | -- |
IIM Calcutta | INR 3,100,000 |
Executive |
IIM Bangalore | INR 2,450,000 |
Business Analytics |
Film and Television Institute of India | INR 77,813 |
Electronic Cinematography Television Direction (Television) Video Editing Sound Recording & Tv Engineering |
IIT Bombay | INR 4,200,000 | -- |
Department of Management Studies IIT Delhi | INR 1,170,000 |
Executive |
Loyola Institute of Business Administration | INR 969,400 |
Finance Marketing Business Analytics Human Resource Management Operation |
Indian School of Business | INR 4,700,000 | -- |
Check Eligibility:
Entrance Exam:
Application Form:
Submission of Documents:
Counseling or Interview:
Merit List:
Seat Allotment:
Final Admission:
Tabulated below is the collection of the Top 10 Government Colleges in India with Fee Structure, including their key features.
Name of the institute | Course Name | Fees |
---|---|---|
Film and Television Institute of India | Post Graduate Certificate | INR 77,813 |
Indian Institute of Science | Master of Management | INR 266,500 |
IIM Bangalore | Post Graduate Programme in Business Analytics | INR 2,450,000 |
IIM Ahmedabad | Post Graduate Program in Management for Executives [PGPX] | INR 3,150,000 |
IIM Calcutta | Master of Business Administration [MBA] (Executive) | INR 3,100,000 |
IIT Madras | Post Graduate Program for Executives for Visionary Leadership In Manufacturing [PGPEX-VLM] | INR 1,350,000 |
IIM Kozhikode | Post Graduate Program in Business Leadership [PGPBL] | INR 2,250,000 |
IIT Kanpur | Master Program | INR 800,000 |
Department of Management Studies IIT Delhi | Master of Business Administration [MBA] (Executive) | INR 1,170,000 |
IIT Delhi | Master of Business Administration [MBA] | INR 1,040,000 |
Tabulated below is the collection of the Top 10 Private Colleges in India with Fee Structure, including their key features.
College Name | Average CTC | City |
---|---|---|
Indian Institute of Technology Bombay (IIT Bombay) | 25-35 | Mumbai |
Indian Institute of Technology Delhi (IIT Delhi) | 22-32 | Delhi |
Indian Institute of Technology Madras (IIT Madras) | 20-30 | Chennai |
Indian Institute of Technology Kharagpur (IIT Kharagpur) | 18-28 | Kharagpur |
Indian Institute of Technology Kanpur (IIT Kanpur) | 17-27 | Kanpur |
Indian Institute of Technology Roorkee (IIT Roorkee) | 16-26 | Roorkee |
International Institute of Information Technology Hyderabad (IIIT Hyderabad) | 15-25 | Hyderabad |
BITS Pilani (Pilani, Hyderabad, Goa campuses) | 14-24 | Pilani, Hyderabad, Goa |
Indian Institute of Science Bangalore (IISc Bangalore) | 13-23 | Bangalore |
VIT University (Vellore, Chennai, Bhopal campuses) | 12-22 | Vellore, Chennai, Bhopal |