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Everything You Need to Know About an Artificial Intelligence Degree: From Bachelor's to PhD

By Pavan Vadapalli

Updated on Feb 27, 2025 | 12 min read | 1.4k views

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Imagine self-driving cars, like those from Tesla, cruising down highways, navigating traffic, and making real-time decisions for safety and efficiency. This technology is the result of AI engineers who are shaping the future with every line of code.

AI’s contribution is not restricted to automation. From improving healthcare diagnoses to enhancing customer experiences, AI is driving innovation across every industry. According to PwC, AI is expected to contribute USD 15.7 trillion to the global economy by 2030 (PwC), further amplifying its economic potential.

If you're looking to enter the world of artificial intelligence and build a professional career, you're in the right place. This blog will answer all your questions about pursuing an AI degree and how to build a successful career in this exciting field. Dive in!

Stay ahead in data science, and artificial intelligence with our latest AI news covering real-time breakthroughs and innovations.

What is an Artificial Intelligence Degree? Requirements and Skills

Artificial Intelligence (AI) is the process through which machines simulate human intelligence, particularly computer systems. These processes include learning (acquiring information), reasoning (solving problems), and self-correction.

AI can range from simple tasks like automating repetitive tasks to complex systems like self-driving cars.

Artificial intelligence is a multi-disciplinary field that combines computer science, data analysis, machine learning, and neural networks. Here’s how it combines these streams.

  • Computer Science: Focuses on algorithmsprogramming languages, and software development.
  • Data Analytics: Interpreting large datasets to make data-driven decisions.
  • Machine Learning (ML): Improve the performance of systems by identifying patterns and making predictions without explicit programming.
  • Neural Networks: Allows machines to recognize patterns, learn from data, and make complex decisions.

Now, let’s take a closer look at the key qualifications you should be aware of before diving into an AI program.

Key Artificial Intelligence Degree Requirements You Should Know

Here are the key academic requirements for an artificial intelligence degree.

  • Education

An artificial intelligence degree typically requires specific qualifications (ex, a B.E. or B.Tech), foundational knowledge (ex, proficiency in programming languages), and sometimes an entrance exam score (ex, GATE score).

  • Work Experience

Work experience may not always be required. However, relevant work experience or internships can strengthen your application and provide practical knowledge. For example, working as an intern in firms specializing in AI.

  • Certification 

Certain institutions may recommend certifications in programming, data science, or machine learning to enhance your qualifications for the degree. For example, Google’s AI/ML Professional Certificate.

  • Entrance Exam

Some institutes need entrance exam scores, such as the GATE (for engineering courses) or GRE for advanced AI degrees.

Now that you know the foundation, let's explore the specific skills that will help you thrive in an AI degree program!

What Skills Are Needed for an Artificial Intelligence Degree?

A strong knowledge of technical concepts like programming, NLP, mathematics, and data science is needed for an artificial intelligence degree. 

Here’s the breakdown of the skills required for this degree.

  • Programming Languages

Proficiency in languages like JavaPython, and C++ is essential. These languages are commonly used in AI development, data manipulation, and building machine learning models.

  • Natural Language Processing (NLP)

Understanding the fundamentals of NLP will help you in developing AI systems that can interpret, analyze, and generate human language.

  • Data Science

A solid foundation of data science concepts, such as data cleaning, exploration, and visualization, will help you while working with AI models.

  • Data structures

Knowledge of data structures such as linked lists, arrays, trees, graphs, and hash tables is necessary for developing efficient algorithms, optimizing performance, and solving complex problems in Artificial Intelligence.

  • Mathematics & Statistics

Essential mathematical knowledge, such as linear algebra, statistics, probability, and calculus, is necessary for developing AI algorithms and understanding machine learning models.

  • Problem-solving

Problem-solving skills will help you tackle complex challenges and design effective solutions.

 

Want to elevate your analytical skills and open doors for a career in data science? Join the free course on the basics of inferential statistics.

 

Now that you have a basic idea of artificial intelligence degree requirements, let’s explore different degrees in detail.

Bachelor Artificial Intelligence Degree Course Details and Career Prospects

A bachelor’s degree in artificial intelligence will teach you core concepts and skills to work in AI fields like machine learning, data science, robotics, and automation. 

Here are some of the bachelor’s in artificial intelligence degree courses. 

Degree Course Eligibility Duration
B.Tech in Computer Science and Engineering with Specialization in AI & ML 10+2 with Physics, Chemistry, and Mathematics 4 years
B.Tech in Artificial Intelligence and Machine Learning 10+2 with Physics, Chemistry, and Mathematics 4 years
B.Tech in AI and Robotics 10+2 with Physics, Chemistry, and Mathematics 4 years
B.Tech in AI and IoT (Internet of Things) 10+2 with Physics, Chemistry, and Mathematics 4 years
B.Sc in Artificial Intelligence 10+2 with Physics, Chemistry, and Mathematics 3 years
BCA in Artificial Intelligence 10+2 with Mathematics 3 years

The artificial intelligence degree course will give you hands-on skills in aspects like data science, AI algorithms, programming languages, and machine learning. 

Here are the key skills you’ll gain from an artificial intelligence degree.

  • Programming Skills: In languages like C++, Python, and Java are needed for developing AI algorithms.
  • Mathematics: Basic knowledge of linear algebra, probability, calculus, and optimization.
  • Data Science: You’ll learn different techniques for data analysis, data visualization, and predictive modeling.
  • AI Basics: Understanding of artificial intelligence, search algorithms,  neural networks, and logic.
  • Machine Learning: Working with supervised and unsupervised learningdeep learning, and reinforcement learning.
  • Robotics & IoT: it combines AI with robotics, IoT devices, and autonomous systems.

Also Read: 12 Best Robotics Projects Ideas & Topics for Beginners & Experienced

Now that you’ve covered artificial intelligence degree requirements, let's explore the career opportunities available after earning a bachelor's in AI.

What Are the Career Opportunities After a Bachelor's in AI?

As an artificial intelligence degree graduate, you can explore career opportunities in fields such as machine learning, data science, and AI development. You'll have the chance to contribute to cutting-edge technologies across industries like technology, automotive, healthcare, and cybersecurity.

The following table contains job roles and salaries of roles associated with artificial intelligence.

Job Roles Average Annual Salary
Data Analyst INR 6L
Business Intelligence Developer INR 7L
Machine Learning Engineer INR 11L
Data Scientist INR 12L
AI Researcher INR 8L

SourceGlassdoor

 

Want to know the practical use of artificial intelligence? Join upGrad’s free course on artificial intelligence in the real world.

 

After a quick overview of the bachelor's in artificial intelligence degree, let's explore the details of a Master's in artificial intelligence degree.

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Master's AI Degree Courses in India: Advanced Learning and Career Opportunities

The master’s degree in artificial intelligence provides in-depth knowledge and specialized skills needed to work on advanced AI technologies. In the master’s course, you’ll be studying topics like neural networks, robotics, machine learning algorithms, and natural language processing in detail

Here’s a list of different master’s in artificial intelligence degree courses.

Course Name Eligibility  Duration
M.Tech in Artificial Intelligence B.Tech or B.E. in Computer Science, IT, or related field 2 years
M.Tech in Data Science and Artificial Intelligence B.Tech or B.E. in Computer Science, IT, or related field 2 years
M.S. in Artificial Intelligence and Machine Learning B.Tech or B.E. in Computer Science, IT, or related field 2 years
M.Sc in Artificial Intelligence B.Sc or B.Tech in Computer Science, Mathematics, or related field 2 years
M.S. in Artificial Intelligence and Robotics B.Tech or B.E. in Computer Science, Electronics, or related field 2 years
M.Tech in AI and IoT B.Tech or B.E. in Computer Science, Electronics, or related field 2 years

Here are the skills you’ll gain from a master’s in artificial intelligence degree.

  • Advanced Machine Learning: Study of supervised, unsupervised, and reinforcement learning.
  • Deep Learning: Understanding concepts such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • AI Algorithms: Study of different algorithms that drive AI and machine learning applications.
  • Natural Language Processing (NLP): Different methods for understanding and generating human language.
  • Robotics: Integrating AI with robotics to develop intelligent systems.
  • Big Data Analytics: Collecting and processing large datasets using AI tools

Also Read: Be A Big Data Analyst – Skills, Salary & Job Description

Top Career Options After Completing a Master's Degree in AI

The skills gained during your master’s in artificial intelligence degree will help you get jobs such as AI researcher, data engineer, data scientist, and robotics engineer.

The following table contains job roles and average salaries of roles you can get after a master’s degree in artificial intelligence.

Job Role Average Annual Salary
Data Engineer INR 9L
Computer Scientist INR 26L
Data Scientist INR 12L
AI Engineer INR 10L
AI Consultant INR 14L

SourceGlassdoor

Also Read: Top 10 Artificial Intelligence (AI) Jobs & Salary Offered in 2024

Now that you have a general understanding of the master's degree in artificial intelligence, let's explore the PhD degree in AI.

PhD in Artificial Intelligence: Exploring Research and Leadership Roles

A PhD degree is a research-oriented program that focuses on advancing knowledge and innovation in the field of AI. During the degree, you’ll be studying different AI techniques, solving complex problems, and conducting research in areas such as machine learning and computational linguistics.

Here’s a list of different types of PhD in artificial intelligence degrees.

Course Name Eligibility  Duration
PhD in Robotics and Artificial Intelligence Master’s degree in Robotics, AI, Computer Science, or a related field. 3-5 years
PhD in Natural Language Processing (NLP) and AI Master’s degree in AI, Linguistics, or Computer Science. 3-5 years
PhD in Computational Intelligence and AI Master’s degree in AI, Computational Science, or a related field. 3-5 years
PhD in AI Ethics and Policy Master’s degree in Computer Science, AI, Philosophy, or a related field. 3-5 years
PhD in AI and Cognitive Computing Master’s degree in Cognitive Science, Computer Science, AI, or a related field. 3-5 years
PhD in AI and Data Science Master’s degree in Computer Science, Data Science, AI, or a related field. 3-5 years

Also Read: Data Science for Beginners: A Comprehensive Guide

Job Opportunities for PhD Graduates in Artificial Intelligence

After completing a PhD in Artificial Intelligence, you can step into leadership roles at tech companies, academic institutions, and research organizations. Given the high demand for AI experts, you'll have strong career prospects and the potential for substantial earnings.

The following table contains job roles and salaries of roles you can get after a PhD in artificial intelligence.

Job Role Average Annual Salary
College Professor INR 6L
AI Architect INR 34L
Deep Learning Engineer INR 10L
Computer Vision Scientist INR 11L
NLP Researcher INR 19.5L

SourceGlassdoor, Ambitionbox

 

Boost your Machine Learning career by mastering NLP. Join the free course on Introduction to Natural Language Processing (NLP).

 

Now that you're familiar with the different artificial intelligence degrees, let's explore how you can get started in the field of AI.

AI Degree Options: How to Get Started with Artificial Intelligence?

Artificial intelligence is one of the rapidly growing fields, offering high returns on the right skills. From traditional degrees to online courses and certifications, there are various options for learning AI. 

Here are different ways to get started with artificial intelligence.

Bachelor's Degree 

A Bachelor's degree in AI or related fields like Computer Science lays a solid foundation for AI concepts such as algorithms, data science, and machine learning.

Master's Degree 

A Master's degree in AI offers specialization in machine learning, deep learning, robotics, and natural language processing.

 

Want to gain advanced knowledge and skills to excel in artificial intelligence? Join the course on Master of Science in Machine Learning and AI.

 

PhD

If you wish to contribute original research to the field of AI, a PhD is ideal. It involves extensive research and development in areas like neural networks, robotics, and AI ethics.

Online Artificial Intelligence Degree

Online AI degree programs provide flexibility for working professionals or those who want to start learning AI from the comfort of their homes. upGrad’s advanced certificate program in Generative AI is one such course on AI.

 

Want to take your artificial intelligence knowledge to the next level through advanced studies? Enroll in the Master’s Degree in Artificial Intelligence and Data Science.

 

Bootcamps and Workshops

Bootcamps will teach you AI in a short time, usually in 6 to 12 weeks. Their focus is on practical, job-ready skills in AI development and data science.

 

Want to master cutting-edge technology in artificial intelligence? Join the course on the Advanced Certificate Program in Generative AI.

 

AI Certifications

Short-term certification courses are ideal if you’re looking to upskill quickly. These certifications provide hands-on experience in tools like Python, TensorFlow, and Keras.

 

Want to learn Python for data analysis, machine learning, and more? Join the free course on Programming with Python: Introduction for Beginners.

 

Factors to Consider When Choosing the Right Artificial Intelligence Degree or Course

The right Artificial Intelligence degree will equip you with both theoretical knowledge and practical skills, along with valuable industry connections and career opportunities. However, selecting the right program can be a challenging task.

Here are different factors that will help you choose the right artificial intelligence degree.

  • Curriculum

Ensure the curriculum covers essential AI topics like natural language processing (NLP), machine learning, deep learning, computer vision, data science, and reinforcement learning.

  • Institute Reputation

Choose a program from a well-recognized institution that is accredited by national or international bodies. Look for universities that have partnered with leading tech companies or research institutes. 

  • Financial Cost

Consider the overall cost of the degree. Check whether the program offers scholarships, grants, or loan options to reduce financial burden.

  • Internship and Industry Exposure

Choose a program that provides access to internships or industrial training. Look for programs that offer regular workshops, hackathons, or guest lectures from industry experts.

  • Mode of Study

Decide whether you want to pursue a full-time degree or a part-time program. If flexibility is important to you, consider online or hybrid courses. 

  • Accreditation

Check whether a recognized academic body accredits the program. If you plan to work abroad, check if the degree is recognized internationally.

  • Career Opportunities

Choose a program that offers career counseling, job fairs, or recruitment drives with leading tech companies. Research the program’s placement record.

 

Confused about how to plan the next step in your career? Join the free course on career planning fundamentals.

 

Now that you've gained a detailed understanding of the artificial intelligence degree, let's explore how you can build a successful career in AI.

upGrad's Online Artificial Intelligence Degree Programs and Certifications

An artificial intelligence degree not only equips you with essential skills but also validates your expertise in artificial intelligence technologies. 

If you’re looking for flexibility, an online artificial intelligence degree can help you gain the knowledge and skills without the constraints of traditional classroom learning. 

upGrad is one such platform that offers online AI courses. With over 1 crore+ learners, 1400+ hiring partners, and 250+ industry experts, upGrad provides you with the skills and opportunities to accelerate your career.

Here are courses offered by upGrad in artificial intelligence and related fields.

Do you need help deciding which course to take to advance your career in artificial intelligence? Contact upGrad for personalized counseling and valuable insights. For more details, you can also visit your nearest upGrad offline center. 

Expand your expertise with the best resources available. Browse the programs below to find your ideal fit in Best Machine Learning and AI Courses Online.

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Frequently Asked Questions

1. Which is the best online artificial intelligence degree?

2. Is artificial intelligence part of IT?

3. Is an artificial intelligence degree better than computer science?

4. Can I study artificial intelligence after 12th?

5. Does artificial intelligence require coding?

6. Is C++ needed for artificial intelligence?

7. Does artificial intelligence require maths?

8. Can a PCB student join artificial intelligence?

9. Can artificial intelligence replace computer science engineering?

10. Which jobs will artificial intelligence replace?

11. What is the future of artificial intelligence in 2030?

References:
https://www.glassdoor.co.in/Salaries/data-analyst-salary-SRCH_KO0,12.htm
https://www.glassdoor.co.in/Salaries/bi-developer-salary-SRCH_KO0,12.htm
https://www.glassdoor.co.in/Salaries/machine-learning-engineer-salary-SRCH_KO0,25.htm
https://www.glassdoor.co.in/Salaries/data-scientist-salary-SRCH_KO0,14.htm
https://www.glassdoor.co.in/Salaries/ai-researcher-salary-SRCH_KO0,13.htm
https://www.glassdoor.co.in/Salaries/data-engineer-salary-SRCH_KO0,13.htm
https://www.glassdoor.co.in/Salaries/computer-scientist-salary-SRCH_KO0,18.htm
https://www.glassdoor.co.in/Salaries/ai-engineer-salary-SRCH_KO0,11.htm
https://www.glassdoor.co.in/Salaries/ai-consultant-salary-SRCH_KO0,13.htm
https://www.ambitionbox.com/salaries/engineering-college-in-salaries/professor
https://www.glassdoor.co.in/Salaries/ai-architect-salary-SRCH_KO0,12.htm
https://www.glassdoor.co.in/Salaries/deep-learning-engineer-salary-SRCH_KO0,22.htm
https://www.glassdoor.co.in/Salaries/nlp-scientist-salary-SRCH_KO0,13.htm
https://www.glassdoor.co.in/Salaries/computer-vision-scientist-salary-SRCH_KO0,25.htm
https://www.pwc.com/gx/en/issues/artificial-intelligence/publications/artificial-intelligence-study.html

Pavan Vadapalli

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