To apply for  B. Tech + M. Tech program in Computer Science Engineering and Data Science admission 2024-25, you typically need to follow these steps:

1. Check Eligibility: Ensure you meet the eligibility criteria set by the university or institution offering the program. This may include specific academic qualifications, such as completing 10+2 with Physics, Chemistry, and Mathematics, or an equivalent qualification.
2. Research Programs: Look for universities or institutions that offer the combined B. Tech + M. Tech program in Computer Science Engineering and Data Science. Consider factors like reputation, curriculum, faculty, and facilities.
3. Prepare Application Documents: Gather the required documents for the application process. This may include:

• Academic transcripts and certificates
• Entrance exam scores (if applicable)
• Identity proof (such as a passport or Aadhar card)
• Passport-sized photographs
• Letters of recommendation (if required)
• Statement of Purpose (SOP) or personal statement
• Any other documents specified by the institution

4. Appear for Entrance Exams (if required): Some universities may require you to take entrance exams like JEE (Joint Entrance Examination) Main or Advanced, BITSAT, or state-level entrance exams. Prepare for these exams accordingly.
5. Submit Online Application: Visit the official website of the university or institution where you wish to apply. Fill out the online application form with accurate information and upload the necessary documents.
6. Pay Application Fee: Pay the application fee as specified by the university. Keep a copy of the payment receipt for future reference.
7. Appear for Interviews or Counselling (if applicable): Some institutions may conduct interviews or counselling sessions as part of the admission process. Prepare for these interactions if required.
8. Wait for Admission Decision: After submitting your application, wait for the institution to review your application. They will notify you of the admission decision through email or their online portal.
9. Complete Admission Formalities: If you receive an offer of admission, follow the instructions provided by the institution to complete the admission formalities. This may include paying the admission fee, submitting additional documents, and attending orientation programs.

The eligibility criteria for a B. Tech + M. Tech program in Computer Science Engineering and Data Science can vary slightly depending on the university or institution offering the program. However, here are some general eligibility requirements that are commonly observed:

1. Educational Qualifications:

• Candidates must have completed 10+2 or equivalent with Physics, Mathematics, and Chemistry/Biology/Computer Science from a recognized board.
• A minimum aggregate score in the qualifying examination, often ranging from 50% to 60%, may be required.

2. Entrance Exams:

• Some universities may require candidates to clear entrance exams such as JEE (Joint Entrance Examination) Main, JEE Advanced, BITSAT, or state-level engineering entrance exams.
• For the M. Tech portion, candidates may need to qualify in GATE (Graduate Aptitude Test in Engineering) or other relevant entrance exams.

3. Language Proficiency:

• Proficiency in English is often required, especially for universities where the medium of instruction is English.

4. Other Requirements:

• Some institutions may have additional requirements, such as work experience, specific coursework in high school, or letters of recommendation.

Internship opportunities after completing a B. Tech + M. Tech program in Computer Science Engineering and Data Science degree at the top University of India can be quite diverse and extensive. Here are some potential areas where you might find internship opportunities:

1. Data Science and Analytics: Internships with companies focused on data analysis, machine learning, artificial intelligence, and big data processing.
2. Software Development: Internships with software companies or tech start-ups, working on developing applications, systems, and software solutions.
3. Research and Development: Internships with research institutions or tech companies involved in cutting-edge research in areas like data science, computer vision, natural language processing, etc.
4. Cybersecurity: Internships with cybersecurity firms or IT departments of organizations, focusing on cybersecurity practices, threat analysis, and defence strategies.
5. Cloud Computing: Internships with cloud service providers or companies adopting cloud technologies, working on cloud infrastructure, deployment, and management.
6. IoT (Internet of Things): Internships with companies involved in IoT solutions, including device connectivity, data collection, and IoT platform development.
7. Data Engineering: Internships with companies specializing in data engineering, data pipelines, data warehousing, and data integration.
8. Consulting: Internships with consulting firms that work with businesses on technology-related projects, including data strategy, digital transformation, and IT infrastructure.
9. Finance and Banking: Internships with financial institutions leveraging data science and engineering for risk assessment, fraud detection, algorithmic trading, and customer analytics.
10. Healthcare and Biotechnology: Internships with healthcare organizations or biotech companies utilizing data science for medical research, patient care optimization, and drug discovery.