From Script to Screen: How Film Students Bring Stories to Life
31-03-2026
While Artificial Intelligence was once limited to specialized use, it is now a ubiquitous technological phenomenon that affects almost all sectors, including healthcare, finance, manufacturing, and autonomous technologies. This has made it a very interesting technology for many people who hope to pursue careers in technology post-Class 12.
If you have been asking yourself what artificial intelligence courses after 12th you should take, here is the answer. Based on your preferences and subjects studied in Class 12, some of the undergraduate programs in artificial intelligence, computer science, data science, machine learning, and others would be suitable for you.
The term Artificial Intelligence refers to any technologies that enable a computer system to be able to execute tasks requiring human intelligence. Such tasks could range from learning from data and pattern recognition to language comprehension and prediction.
Artificial intelligence is heavily related to disciplines such as machine learning, data science, robotics, natural language processing, and computer vision, among others. In light of this fact, it is not necessary for a student to major in “Artificial Intelligence” to be successful in an AI career.
An undergraduate course usually integrates programming and mathematics with algorithm and data handling skills.
There are various paths to take during the undergraduate level depending on the student’s academic experience and career plans.
1. B.Tech in Artificial Intelligence
A B.Tech in Artificial Intelligence is a straightforward pathway for those students who would like to specialize in AI right from the start of their university studies.
The curriculum usually involves programming, data structures and algorithms, mathematics, machine learning, deep learning, computer vision, natural language processing, and application of AI. The engineering perspective also offers an understanding of computing systems and problem-solving.
It suits those students who love mathematics, programming, and technology.
2. B.Tech in Computer Science with Artificial Intelligence
Another widely popular path is a B.Tech in Computer Science with specialization in AI or Machine Learning.
In such a program, students can build a solid foundation in computer science and learn about machine learning and other technologies. The subjects covered by the students can be the following: operating systems, databases, computer networks, algorithms, software development, machine learning, and others.
This program can help those students who seek more flexible career opportunities.
3. B.Sc in Artificial Intelligence or Data Science
Those students who are interested in the scientific aspect of AI can opt for a B.Sc program in Artificial Intelligence & Data Science, or some similar discipline. Such programs usually pay a lot of attention to statistics, mathematics, programming, data analysis, and machine learning. In addition, depending on the curriculum, students may also get introduced to predictive modelling, data visualization, and others.
4. BCA with Artificial Intelligence/Machine Learning
There is another option of opting for Bachelor of Computer Applications, which can lead to AI, especially if the course offers a specialization in artificial intelligence/machine learning/data science.
The BCA course involves application, programming, and software development. There are ways in which you can pursue a career in AI through your BCA course and AI electives, projects, certification, or post-graduation courses.
5. Computer Science or Mathematics-Based Degrees
As AI is an interdisciplinary subject, there is another way in which you can start with an academic course such as computer science, mathematics, statistics, etc., and then specialize in the field.
Having a good base in maths and programming will be useful to pursue AI studies at a higher level. Students pursuing this route can opt for post-graduate courses or specialized certification in AI or machine learning.
Eligibility varies by the course and the university.
If the candidates are opting for technical AI courses, then Mathematics is of particular importance.
Physics would be useful if the candidate is interested in engineering, whereas Computer Science is helpful in gaining programming knowledge.
However, the Class 12 subjects would depend on the undergraduate course.
If you are still undecided about your Class 11 and 12 subjects, take into account the eligibility criteria of the AI courses that you might choose.
Curriculum may differ across institutions; however, the list of skills students will obtain through AI-focused undergraduate programs may include:
Programming and Computational Thinking
Data Structures and Algorithms
Mathematics and Statistics
Database Management
Machine Learning
Deep Learning
Data Science
Computer Vision
Natural Language Processing
Artificial Neural Networks
Robotics and Automation
Ethics of AI and Technology
It is also important to work on projects since working with datasets, designing models, and resolving problems will allow you to learn how AI-related concepts can be applied in practice.
An AI career requires specific technical skills and problem-solving abilities.
Technical Skills
Gradually developing your abilities in such programming languages as Python, as well as gaining knowledge of algorithms, statistics, databases, and machine learning, will contribute to your success.
Analytical Thinking
Identifying patterns, analyzing data, and knowing that your model gives you the right output are all related to analytical and mathematical thinking.
Communication Skills
It is quite possible that working in AI, you will have to communicate with people of various levels of competence in technology. So being able to communicate the findings effectively is also crucial.
Continuous Learning
This domain changes really fast. If you decide to enter the world of AI, then you should be prepared for constant learning.
An undergraduate program can enable individuals to join several roles involving technology and data. Based on their educational qualifications, skill set, and experience, individuals may pursue jobs such as:
AI Engineer
Machine Learning Engineer
Data Scientist
Data Analyst
Computer Vision Engineer
NLP Engineer
Robotics Engineer
Software Developer
AI Research Assistant
Business Intelligence Analyst
Some roles may demand graduate qualifications or specialized experience, especially research-based roles.
Those seeking to pursue courses with AI may also check out programs offered at Amity University Noida. Depending upon the individual’s eligibility and career preferences, one may choose from a range of technology and computing programs offering insights into areas such as artificial intelligence, machine learning, data science, and computer applications.
Instead of selecting the course based only on its title, individuals must evaluate the curriculum, eligibility criteria, learning framework, and specializations.
Moreover, pursuing an education in AI could prove to be a lucrative area for students interested in technology, maths, programming, and problem-solving. Nonetheless, just choosing AI because it is a fast-growing technology will not suffice.
A student should analyse whether he or she likes playing around with data and learning programming and computational systems. Rather than getting lured by an AI label, having a good foundation and being eager to learn continuously matter more.
Notably, AI does not limit itself to any one particular industry. Applications of AI include healthcare, finance, education, manufacturing, retail, transport, cybersecurity and scientific research. This provides graduates a platform to use their technical skills in diverse fields.
Choosing the right AI programme post Class 12 is based on one's academic profile, personal interest and future plans. There are many ways for students to enter this field – either through B. Tech in Artificial Intelligence, Computer Science with AI, B.Sc in AI or data science courses, and BCA pathway.
However, prior to choosing the programme, compare the curricula, eligibility, practical experience, faculty, research and job prospects at different universities. One should always look for a programme that provides strong foundations along with practical application of knowledge.
Amity University Noida's Official Blog: Your Destination for Career Guidance, Course Insights, Rankings, and Expert Tips for a Future Full of Possibilities.
Contact us: admissions@amity.co.in
