B.Sc. Artificial Intelligence and Data Science
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The B.Sc. in Artificial Intelligence and Data Science is designed to provide you with the essential knowledge and skills needed to thrive in the technology industry. This comprehensive course focuses on the key aspects of AI, machine learning, and data science, from designing intelligent applications to analyzing vast datasets for hidden insights. You will gain a deep understanding of how AI and data science intersect and how they can be used to solve complex real-world problems.
This programme equips you with both theoretical knowledge and practical skills through hands-on experience, ensuring that you are prepared for a successful career in the fast-growing fields of AI and data science.
Course Curriculum
Year 1
The first year lays the foundation of AI and data science, where you will explore fundamental areas like programming, mathematics for machine learning, and data analysis techniques. You will also understand the role of AI in various industries and learn the basics of machine learning and data handling.
Key Subjects: Introduction to Artificial Intelligence, Introduction to Data Science, Programming with Python, Data Structures and Algorithms, Probability and Statistics for Data Science.
Year 2
Building on the basics, the second year focuses on refining your skills in machine learning, big data, and data visualization. You will delve deeper into advanced algorithms, predictive modeling, and data management. This year also introduces deep learning and natural language processing (NLP), essential components of modern AI applications.
Key Subjects: Machine Learning Algorithms, Data Visualization, Big Data Technologies, Deep Learning, Natural Language Processing (NLP), Database Management Systems.
Year 3
In the final year, you will engage with advanced topics like artificial intelligence in real-world applications, AI ethics, and data-driven decision-making. The focus shifts to applying your knowledge to solve real-life problems, preparing you for leadership roles in AI and data science.
Key Subjects: AI Ethics, Advanced Machine Learning, Artificial Intelligence in Business, Data-Driven Decision Making, Internship and Industry Exposure.
Programme Outcomes (POEs)
Upon completing the B.Sc. in Artificial Intelligence and Data Science, you will have acquired the following practical and professional competencies:
Proficiency in AI & Machine Learning
You will develop the ability to design intelligent systems, create machine learning models, and apply them to real-world problems across different domains.
Advanced Data Analysis
You will be capable of managing, processing, and analyzing large volumes of data to uncover hidden patterns and insights that drive business decisions.
Leadership in Technology
You will be prepared for leadership roles in AI and data science, with skills in problem-solving, decision-making, and project management.
Ethical AI Practices
You will understand the ethical implications of AI technologies and be able to design AI systems that are responsible and fair.
Real-World Application
Through industry internships and live projects, you will gain experience in applying AI and data science solutions to practical challenges.
Programme Outcomes (POs)
The B.Sc. in Artificial Intelligence and Data Science will help you achieve the following broader learning outcomes:
PO1: In-Depth Knowledge of AI & Data Science
You will develop a comprehensive understanding of machine learning, AI algorithms, data analytics, and big data technologies, enabling you to solve complex technological challenges.
PO2: Critical Thinking and Problem-Solving Skills
You will refine your ability to approach problems creatively and logically, particularly in high-pressure environments where fast decision-making is key.
PO3: Strong Management and Leadership Skills
You will learn key management concepts and leadership strategies, preparing you to lead AI and data science teams, ensuring effective project delivery and innovation.
PO4: Effective Communication and Relationship Management
You will develop the communication skills essential for presenting data insights, collaborating with teams, and discussing complex AI and data science topics with non-technical stakeholders.
PO5: Financial and Resource Management
You will acquire the necessary skills to manage budgets and resources for AI-driven projects, ensuring efficient implementation and cost-effective use of technologies.
Programme Specific Outcomes (PSOs)
The Programme Specific Outcomes focus on the technical and industry-specific skills you will gain through this course, allowing you to excel in specific areas of AI and data science.
PSO1: Practical Expertise in AI Applications
You will gain hands-on skills in developing AI models and machine learning applications, enabling you to work on real-world projects in industries such as healthcare, finance, and robotics.
PSO2: Data Handling and Analytics
You will develop expertise in data collection, processing, and analysis techniques, ensuring you can effectively manage large datasets and extract meaningful insights for decision-making.
PSO3: Specialisation in Machine Learning
You will acquire advanced skills in machine learning algorithms, preparing you for roles that require designing, testing, and deploying machine learning models in complex environments.
PSO4: Understanding of AI Ethics and Social Impact
You will understand the ethical challenges associated with AI and data science, including bias, fairness, and accountability, and develop solutions that minimize negative social impact.
PSO5: Expertise in Big Data Technologies
You will learn how to use big data platforms like Hadoop and Spark to handle large-scale data processing, enabling you to work with massive datasets for complex data science applications.
Career Scope
Upon completion of the B.Sc. in Artificial Intelligence and Data Science, you will be well-equipped to pursue various roles in AI and data science. The field offers numerous career opportunities in both India and internationally, with roles that involve working with cutting-edge technologies in industries like tech, healthcare, finance, and more. Here are some of the potential roles you can pursue:
Machine Learning Engineer
- Role: Designing and deploying machine learning models, working with large datasets to create AI-driven solutions.
- Salary: ₹7,00,000 to ₹12,00,000 per annum (depending on experience and company size).
Data Scientist
- Role: Analyzing complex datasets, extracting actionable insights, and building predictive models to inform business decisions.
- Salary: ₹6,00,000 to ₹10,00,000 per annum.
Artificial Intelligence Engineer
- Role: Developing AI applications and systems to solve problems across various industries, including healthcare, finance, and automation.
- Salary: ₹8,00,000 to ₹14,00,000 per annum.
Business Analyst
- Role: Using data science and AI tools to interpret business data and provide strategic recommendations for decision-making.
- Salary: ₹5,00,000 to ₹8,00,000 per annum.
Data Analyst
- Role: Collecting, cleaning, and analyzing data to provide insights into business trends and patterns.
- Salary: ₹4,00,000 to ₹7,00,000 per annum.
Software Engineer
- Role: Developing and maintaining software applications, working with AI and data science technologies to build intelligent systems.
- Salary: ₹5,00,000 to ₹9,00,000 per annum.
Why TAKSHASHILA?
At the School of Artificial Intelligence and Data Science, Takshashila University provides you with an exceptional educational experience, designed to help you build a successful career in the AI and data science sectors. Here’s how we equip you to stand out:
Focused Education with Industry Relevance
The curriculum at Takshashila University is built with the future in mind, ensuring that you gain the knowledge and skills required to tackle the challenges of AI and data science industries.
Personalized Learning Experience
With small class sizes and personalized attention from faculty, you will receive full support throughout your studies, ensuring you make the most out of your education.
Exposure to Live AI and Data Science Projects
You will have the opportunity to work on live projects, solving real-world problems with the latest AI and data science tools, preparing you for the challenges of the tech industry.
Comprehensive Industry Networking
Our strong network of alumni, partners, and industry experts provides access to internships, mentorship, and collaboration opportunities, opening doors for your career.
Global Perspective with Local Expertise
While we provide global industry connections, we also ensure that you understand the nuances of local markets, enabling you to apply AI and data science practices effectively across different cultures and regions.
To apply for the B.Sc. in Artificial Intelligence and Data Science, candidates must meet the following criteria:
- Academic Qualification: Candidates must have completed their 10+2 or equivalent from a recognized board.
- Minimum Marks: A minimum of 50% marks in the qualifying examination.
- Entrance Exam/Interview: Depending on the number of applications, an entrance exam or interview may be required.
The School of Artificial Intelligence and Data Science at Takshashila University offers scholarships based on academic performance, financial need, and personal achievements. These scholarships provide financial support to deserving students who wish to pursue their studies without financial barriers.
Experience Beyond the Classroom at Takshashila University
At Takshashila University, life extends beyond academics, offering you a vibrant environment to grow personally and professionally. The campus fosters collaboration, creativity, and engagement, providing opportunities to connect with peers, faculty, and industry experts.
What You Can Look Forward To
Hackathons & Coding Challenges
Participate in real-world problem-solving events.
Tech Clubs & Innovation Labs
Collaborate on AI, robotics, and cybersecurity projects.
Industry Workshops & Internships
Gain hands-on experience with top tech companies.
Cultural & Sports Events
Enjoy a balanced university life with fests, tournaments, and networking meetups.
Entrepreneurship Support
Get mentorship and funding opportunities for startup ideas.
At Takshashila University, you don’t just earn a degree—you build a future!
Spread over 150 acres
At Takshashila University, you will have ample opportunities to hone your skills in real-world healthcare settings, utilising state-of-the-art medical facilities and simulation labs on our 150-acre campus.
Ready to start your journey towards a career in AI and data science?
Similar Courses
If you are interested in exploring similar fields of study, consider the following programmes:
B.Sc. Machine Learning and Data Analytics
M.Sc. Artificial Intelligence and Data Science
These programmes offer complementary pathways in AI and data science and can further enhance your knowledge in the field.
Get more details about the B.Sc. in Artificial Intelligence and Data Science programme, including course content, faculty, and the admissions process by downloading our brochure.
Frequently Asked Questions (FAQs)
What is the duration of the B.Sc. in Artificial Intelligence and Data Science?
The course lasts for 3 years, divided into six semesters, and includes both theoretical learning and practical industry exposure.
Do I need prior experience in AI to apply?
No, prior experience is not required. The programme is designed for individuals who wish to build a strong foundation in AI and data science.
What kind of career support is available?
We offer career services that assist with job placements, internships, and networking with industry professionals to help you secure a job after graduation.
Is there an entrance exam for this programme?
Depending on the number of applications, an entrance exam or personal interview may be required. Please refer to the admissions page for detailed information.
