Introduction
The B Tech Artificial Intelligence and Data Science at Takshashila university is an innovative program combining Data Science and Artificial Intelligence (AI) technologies.
This interdisciplinary program prepares students to handle large amounts of data, design AI systems, and address pressing real-life challenges. Since several industries are gradually adopting AI and data science, this degree opens up multiple career opportunities in a fast-growing and highly sought-after area.
This article aims to provide a detailed understanding of the B Tech program in Artificial Intelligence and Data Science, including course description, eligibility requirements, admission information and career prospects.
Who Should Choose B Tech in Artificial Intelligence and Data Science?
Deciding to take a B Tech degree in AI and Data Science is an extraordinary decision to determine a person’s future career path. This program is, therefore, particularly suitable for students with good maths and computer science backgrounds as these subject areas form the core of AI and data analysis.
Furthermore, people who seek determination, creativity, and conceptual skills will have the most satisfying and profitable career in the field since problem-solving and critical thinking are primary focus areas.
In addition, any professional who wants to become a professional and is interested in using IT to solve practical issues will benefit from a B Tech in Artificial Intelligence and Data Science. This program provides the students with tools that will allow them to build models in machine learning, make predictive analytics, and visualise data on real-life problems, hence converting data into information.
Professionals comfortable with interdisciplinary interactions and value teamwork should also establish this field, as it has close connections with the business, social sciences, and engineering domains.
Stay tuned to learn more about studying B Tech in AI and Data Science!
Course Details
The complete course description for B Tech in Artificial Intelligence and Data Science,
- Core Subjects Machine Learning: Investigate the algorithms applied in gathering information and predicting based on the information collected.
- Data Mining: Extracting information beyond the ordinary from the information obtained using machine learning and a set of Statistical and database procedures.
- Natural Neural Networks: Know how neural networks, an aspect of AI Technology, work and their components.
- Big Data Technologies: Learn the technologies that can be used to manage huge volumes of data, including Hadoop and Spark. Statistical Analysis: Acquire knowledge in statistical concepts used to analyse data variously.
- Natural Language Processing (NLP): Learn how text data can be studied and analysed.
- Data Visualization: Methods that involve the presentation of data to the wireframes and other forms of data Visualization to bring out the information embedded in the data.
Curriculum Highlights: Practical and Theoretical Balance
Artificial Intelligence and Data Science Curriculum
| Year | Subjects | Description |
| 1 | Mathematics, Introduction to Programming | Foundation courses to build fundamental skills |
| 2 | Data Structures, Machine Learning | Intermediate courses focusing on core subjects |
| 3 | Neural Networks, Big Data Technologies | Advanced courses integrating AI and data science |
| 4 | Capstone Project, Internship | Practical application through projects and real-world experience |
Skills Required for Learning B Tech in Artificial Intelligence and Data Science?
You should pursue these things while learning B Tech in Artificial Intelligence and Data Science.
- Analytical Thinking: Analytical abilities are finely honed to understand intricate information.
- Programming Proficiency: Languaged proficiency including but not limited to Python, R and SQL is acquired.
- Data Handling: The concept teaches how to work with massive data.
- Algorithm Design: Skills to create and apply algorithms for different domains of Artificial Intelligence.
- Problem Solving: Gain experience solving engineering problems using the skills learned, including AI and data science.
Eligibility Criteria: Who Can Apply?
Educational Qualification
I passed the +2 Scheme of Physics, Chemistry and Mathematics Examination.
Minimum Marks
A minimum aggregate of 50-60% in mathematics, physics, and chemistry is needed.
Entrance Examinations
JEE Main: Abbreviated as Joint Entrance Exam, it is a standard entrance examination for engineering courses.
BITSAT – Admission test for undergraduate programs in BITS campuses.
Admission Process: How to Apply
Here are the details of the admission process you should follow,
- Research and Apply: Search the universities that provide this degree program and apply online.
- Entrance Exam: Study and sit for all the required entrance examinations.
- Document Submission: Send in your entrance examination scores and school academic records.
- Counselling and Admission: Go for counselling, choose the program of your choice, and follow the admission procedures.
Why You Should Take B Tech in Artificial Intelligence and Data Science
Let us get to know you better with three compiling reasons why you should take B Tech in Artificial Intelligence and Data Science,
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- Integration of Technologies: You would quickly learn how to combine and use artificial intelligence and data science methods.
- Industry Demand: Meet the increasing demand for professionals who can work with AI and data science.
- Advanced Projects: Advanced projects on AI and data analytics are available.
Career Opportunities: Future Prospects
Potential Careers
- Data Scientist: Provides support in decision-making through analysing and interpreting complex data.
- Machine Learning Engineer: Build and deploy machine learning algorithms.
- AI Research Scientist: Perform research on the progress of the artificial intelligence industry.
- Data Analyst: Provides information and insights from data for business decision-making.
- Business Intelligence Developer: Focuses on data to build actionable plans to achieve business goals.
Job Sectors
These are the job sectors on the line you can choose after completing your B Tech in Artificial Intelligence and Data Science.
Technology Companies: Participation in developing AI products for major technology companies.
Finance: AI technology is used to analyse finance and manage risks.
Healthcare: The application of data science has health benefits for patients and improved efficiency of operations.
E-commerce: AI technology improves user satisfaction and operational efficiency in the online selling area.
Research and Development are activities related to the conception of new AI technologies and the invention of novel AI systems.
Companies You Can Aim For
Top Employers
- Tech Giants: Google, Microsoft, Amazon, and Facebook.
- Finance Firms: Goldman Sachs, JP Morgan, and Morgan Stanley.
- Healthcare Companies: Philips, Siemens Healthineers, and GE Healthcare.
- E-commerce Platforms: Amazon, Flipkart, and Alibaba.
- Consulting Firms: Accenture, Deloitte, and McKinsey.
Salary Expectations
| Role | Average Salary (INR) |
| Data Scientist | 8,00,000 – 20,00,000 |
| Machine Learning Engineer | 9,00,000 – 22,00,000 |
| AI Research Scientist | 10,00,000 – 25,00,000 |
| Data Analyst | 6,00,000 – 15,00,000 |
| Business Intelligence Developer | 7,00,000 – 18,00,000 |
Application Tips: How to Stand Out
Resume Building
Include only course works and projects which are most related to the job.
Add internship or experience that falls within the line of the study field.
Interview Preparation
Assess the relevance of the technical performance and the thinking abilities of the candidate.
Expect questions on recent developments in artificial intelligence and data science sectors.
Industry Trends: What to Expect
Emerging Technologies
- Deep Learning: Neural networks and improving the uses of deep learning.
- AI Ethics: Some emerging concerns are directed towards ethical hope within the development and deployment of Artificial Intelligence.
- Quantum Computing: Aspects arising from using quantum computing for AI and data science.
Future Developments
- Autonomous Systems: Realization of self-driving cars and automobiles and also robotics.
- Personalised AI: Development of new artificial intelligence tools specific to the needs of particular users.
- Data Privacy: The processing that is more comprehensive yet carries the drawbacks of increasing data protection and privacy.
Skill Enhancement: Beyond the Curriculum
Certifications
- Certified Data Scientist (CDS): Builds confidence in data science ideas and techniques.
- Machine Learning Certification by Stanford University: Concentrates on the subject of an algorithm and machine learning.
- AI for Everyone by Andrew Ng: Introduces specific principles of artificial intelligence.
Workshops and Seminars
Attend industrial workshops and seminars to remain informed about new trends and technologies.
Conduct hackathons and coding contests to use the knowledge and skills you have learned in theory classes.
Hands-On Experience
Lab Work: Students will acquire actual knowledge by conducting laboratory classes that replicate the environment in the working world.
Internships: Get these industrial rubbers to work on practical projects and get industrial exposure.
Financial Considerations and ROI
Cost of Education
Tuition Fees: The average tuition fee for the B Tech in Artificial Intelligence and Data Science course ranges around INR 1,00,000- 2,50,000 annually. This may differ depending on the college; some colleges charge additional fees for carrying out specialised programs or utilising facilities.
Additional Costs: Aside from tuition, students should also consider costs for books and other materials and living hauling. These costs may escalate to rupees twenty thousand to fifty thousand per year based on geographic location and personal orientation.
Potential Earnings
| Role | Average Salary (INR) |
| Data Scientist | 8,00,000 – 20,00,000 |
| Machine Learning Engineer | 9,00,000 – 22,00,000 |
| AI Research Scientist | 10,00,000 – 25,00,000 |
| Data Analyst | 6,00,000 – 15,00,000 |
| Business Intelligence Developer | 7,00,000 – 18,00,000 |
Return on Investment (ROI)
Understanding the need for more professionals with a B Tech degree in Artificial Intelligence and Data Science, one can comprehend that pursuing such education does not only mean heading to class but also taking a step toward an engaging profession in the emerging market. There are reasonable costs of education and more money-making opportunities that promise reasonable returns to the graduates in the long run.
- High ROI: B Tech in Artificial Intelligence and Data Science is a program that returns its investment and earns more. Graduates can look forward to salaries that are in reasonable proportion to the educational investment made.
- Trends in Employment Opportunities: The graduate job market is healthy and growing as the economy continues to depend on AI and data science. This helps achieve a positive ROI because graduates have enough opportunities to exploit the labour market.
Make the Right Decision – Join Takshashila University!
Join with the Takshashila University to Embrace the Future!
Have you ever imagined BRINGING ourselves into the world of Artificial Intelligence and Data Science? The B Tech course at Takshashila University provides you with all-around training that arms you with the latest knowledge and skills. We have professional staff, updated tools, and affiliation with industry, so we give you more than just an education.
You can apply right now to become one of us, joining a community of innovators and practitioners of excellence. Experience the advancement of technology with your leadership and enrol at Takshashila University.
Call our counsellor today to learn how to apply to our institute and kick-start your AI and Data Science career.
Conclusion
The program offered by B Tech in Artificial Intelligence and Data Science provides a strong background in the technologies of artificial intelligence and data sciences.
This program has been structured to combine theoretical learning with the skills required for professional work in an emerging and constantly competitive environment.
With strengths in essential areas such as machine learning, data mining, neural networks, and big data technologies, graduates can solve diverse problems and introduce improvements in various fields.
So, by opting for a B Tech in Artificial Intelligence and Data Science, you are setting yourself up to pioneer in this technology and data analysis era.
This program prepares you to be a skilled professional and leads you to abundant opportunities within numerous fields.
Welcome to the future and a productive AI and data science path at Takshashila University.
FAQ
1. What are the prospects of studying for a B Tech in Artificial Intelligence and Data Science?
Information Technology, Finance Services, Healthcare, E-commerce, and Research and Development, where they can work as Data Scientists, ML EnEngineersAI Research ScScientistsand Data AnAnalysts
2. What are the admission requirements in this program?
I am passing the 10+2 examination with Physics, Chemistry, and Mathematics subjects and clearing some tests, such as JEE main, BITSAT or state-level tests.
3. Which competencies can be expected from me at the end of the course?
Techniques for analytical reasoning, both coded and non-coded languages (Python, R, SQL), data manipulation, algorithm formation, problem-solving, and data representation.
4. What are the available jobs after completing college?
Some positions are Data Scientist, Machine Learning Engineer, Artificial Intelligence Research Scientist and Data Analyst, with jobs offered by well-established companies such as Google, Microsoft, Amazon and Accenture.
5. What other means can I use to gain knowledge apart from the curriculum?
There are computer science certifications to earn, workshops to attend, internships to gain, research to conduct, and professional forums and conferences to connect with.
