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Everything You Need to Know About an Artificial Intelligence Degree: From Bachelor's to PhD
Updated on 06 January, 2025
1.35K+ views
• 12 min read
Table of Contents
- What is an Artificial Intelligence Degree? Requirements and Skills
- Bachelor Artificial Intelligence Degree Course Details and Career Prospects
- Master's AI Degree Courses in India: Advanced Learning and Career Opportunities
- PhD in Artificial Intelligence: Exploring Research and Leadership Roles
- AI Degree Options: How to Get Started with Artificial Intelligence?
- upGrad's Online Artificial Intelligence Degree Programs and Certifications
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!
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 algorithms, programming 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 Java, Python, 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 learning, deep 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 |
Source: Glassdoor
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.
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 |
Source: Glassdoor
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 |
Source: Glassdoor, 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.
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.
Best Machine Learning and AI Courses Online
Discover in-demand Machine Learning skills to expand your expertise. Explore the programs below to find the perfect fit for your goals.
In-demand Machine Learning Skills
Discover popular AI and ML blogs and free courses to deepen your expertise. Explore the programs below to find your perfect fit.
Popular AI and ML Blogs & Free Courses
Frequently Asked Questions
1. Which is the best online artificial intelligence degree?
Programs like upGrad's AI and ML courses or MIT's AI course offer industry-aligned curriculums and flexible learning options.
2. Is artificial intelligence part of IT?
Yes, AI is a sub-part of IT, as it depends on computer science, data science, and software engineering.
3. Is an artificial intelligence degree better than computer science?
It depends on your goals. Computer science is broader and covers software development, algorithms, and more. AI is ideal for those interested in specialized roles in automation and intelligence.
4. Can I study artificial intelligence after 12th?
Yes, you can study AI after 12th by opting for a B.Tech in Artificial Intelligence, Computer Science, or Data Science.
5. Does artificial intelligence require coding?
Yes, artificial intelligence requires coding, especially in languages like Python, Java, and C++.
6. Is C++ needed for artificial intelligence?
C++ is not compulsory but can be useful for performance-intensive AI applications. Python is more commonly used for AI.
7. Does artificial intelligence require maths?
Yes, AI requires a solid knowledge of mathematics, especially linear algebra, probability, calculus, and statistics.
8. Can a PCB student join artificial intelligence?
Yes, a PCB (Physics, Chemistry, Biology) student can join AI by pursuing a B.Tech in Computer Science, Data Science, or AI.
9. Can artificial intelligence replace computer science engineering?
AI is a subset of computer science engineering. While AI is a growing field, computer science engineering remains important for foundational skills like software development and system design.
10. Which jobs will artificial intelligence replace?
AI is likely to replace jobs like data entry, basic customer service, and manual manufacturing roles.
11. What is the future of artificial intelligence in 2030?
By 2030, AI is likely to play a crucial role in sectors like healthcare, autonomous vehicles, and finance.
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
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