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What should be my course of study?

I am currently in 10th grade. I am want advice on what degrees should I do and should I study? I am currently considering doing a bachelor's degree in computer science in online beside my college. After college I want to do a second bachelor's degree in artificial intelligence. Then I want to do a masters in artificial intelligence. I want to build AI related stuffs.

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Abhishek’s Answer

Hi there! Your plan to study both Computer Science and AI is a great choice. The field is changing fast, so while you're getting your degree, try to get involved in real-world projects. This will give you practical experience and help you solve real problems. By applying what you learn to actual situations, you'll boost your skills and become a well-rounded professional. Best of luck!
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Nithya’s Answer

You're already thinking like an engineer, which is a great start. To build AI, aim for a strong bachelor's degree in computer science. Work on lots of AI projects and think about a master's in AI if you want to specialize more. You don't need two bachelor's degrees. Instead, focus on projects and internships while studying. Strengthen your math and programming skills, try beginner AI projects, and learn about machine learning, data structures, and algorithms. This will set you up well for a future in AI.
Thank you comment icon Agree with strengthening math and programming skills as great foundational steps. Then you will a stronger ability to work through real-life machine learning use cases. As others have said, computer science and AI is a strong combination. Colin Soutar
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Ashar’s Answer

Hi Abdullah, As you're only in 10th grade, so focus on building strong foundations in math, programming, and skills like problem-solving. A Computer Science degree is usually enough to start a career in AI, but you don't need to plan multiple degrees today. Spend time building projects, learning new technologies, and applying AI to real-world problems. Skills and experience often matter more than the number of degrees you earn. Hope this is useful and Good luck!
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Omar’s Answer

A degree in computer science is really valuable and sets you up for a career in AI or other fields. You don't need another degree in AI to succeed in building AI solutions if you have a degree in computer science. Furthermore, the degree in computer science can also open doors to careers in areas like finance.
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Sean’s Answer

In a word, JAVA. Being an expert in JAVA will help get your foot in the door, will be something you can fall back on, if needed.
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Ericka ’s Answer

I’m so excited for your career path! You’re thinking about a career that will shape the future. Since AI is such a big trend right now, majors related to it are likely to be in high demand for future professionals. I’d also consider a major related to the risks of AI like Cybersecurity , so you can understand the full picture.
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Vinod’s Answer

It's great to see your interest in Computer Science and AI! Keep going with your computer science degree, as it will give you a strong foundation. AI is changing quickly, so there's no rush to decide on it now. By the time you graduate, the world of AI will have even more exciting opportunities.
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Sohom’s Answer

I would say the best path is to focus on one strong bachelor’s degree in computer science rather than doing two separate bachelor’s degrees. A computer science degree gives you the foundation you need in programming, algorithms, data structures, math, and systems, which are all important for building AI. After that, if you still want to specialize further, a master’s in artificial intelligence would be a much better next step than earning a second bachelor’s degree.

I’d also recommend spending your time building real projects in Python, machine learning, data science, and cloud tools, because that experience will help you more than just collecting degrees.
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Rishi’s Answer

Hi Abdullah,

It's fantastic that you're planning ahead! It's never too early to start, and being focused now is really impressive.

There are so many programs available, especially since AI is such a hot topic in both companies and schools. This means there are lots of chances to specialize in AI for your education and career. Studying Computer Science or Information Systems as a bachelor's degree could be a great start. Look for programs where you can focus on AI within your degree. This might help you skip the extra degree you mentioned and go straight to a Master's if that's your goal.
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Prajay’s Answer

Hi Abdullah! I'm no expert in this area, but based on the way I see things moving and AI rapidly advancing, I think your plan may be a little slow just in terms of timeline. Most computer science programs at this point in time are going to involve a lot of AI concepts and training because that is the direction the industry is taking, so I recommend you make sure that whatever program you're joining for your bachelor's degree, you've made sure it's going to prepare you for this possibly AI-driven world. Personally I'm seeing pressure in all jobs to start improving efficiency by using AI tools and understanding well how you can use them. So I would make sure you cover that within your bachelor's work, rather than needing a separate, second bachelor's degree AFTER the first one. That way you can try and get a job right after your first bachelor's, or otherwise consider doing the masters immediately after that.
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Dudleen’s Answer

Hi Abdullah!

You have a great choice of things to pursue your Bachelor's in! I majored in Computer Science, and due to the coursework I went through, I would recommend majoring in Computer Science due to it being flexible degree, where you can minor in Artificial Intelligence if anything depending on the university. While studying, you can build an AI focused background through classes, internships, side projects, and organizations. Following this, you could pursue a Master's in Artificial Intelligence for deeper knowledge and specialization in the field.
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Joshua’s Answer

If you want to build AI stuff, I’d say go for a bachelor’s in computer science first, because that gives you the main foundation you need. While you’re studying, try to learn Python, math, and machine learning, and work on small AI projects so you can build real skills. A second bachelor’s in AI probably isn’t necessary if your CS degree is strong, and after that you can do a master’s in AI if you want to specialize more. Right now, the best thing is to focus on doing well in school, especially math and science, and start learning the basics of coding and AI early.
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Maryann’s Answer

It's great that you're thinking about this early in 10th grade—you're already ahead of many others! Getting a bachelor's degree is an important step. Here are some fields you can consider:

- Computer Science (highly recommended)
- Data Science
- Software Engineering
- Math/Statistics (also a good choice)

Here's why:

Computer Science provides strong basics like programming, algorithms, and systems. AI is actually a specialized area within Computer Science.

You don't need a separate degree to start in AI. Just focus on learning the essential skills needed for AI roles. A master's degree isn't necessary, but it can be very helpful.
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Amando ’s Answer

So in order to get into artificial intelligence, you would start with the computer science degree. you could focus on AI throughout your studies, then focus on AI for your master degree. If you do go for comp sci, maintain a focus on Artificial Intelligence throughout, because it is the future of the field.
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Nitin’s Answer

Start with a Bachelor's in Computer Science to build a strong base for AI. During your studies, focus on math, statistics, and machine learning courses to develop technical and analytical skills. In your free time, work on small AI projects, learn Python, join coding clubs, apply for internships, and create a portfolio to showcase your skills. This practical experience is as important as your coursework. After your bachelor's degree, consider if a master's in AI is right for you based on your goals for specialization.
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Rachana’s Answer

Hello,

You don’t need multiple bachelor’s degrees—do one strong in‑person (or high‑quality) BSc in Computer Science or AI, take lots of AI/ML courses, and build projects along the way.
After that, if you still love the field, go for a master’s in AI/ML and focus on a strong portfolio (research, open‑source, personal AI projects), which will matter more than extra degrees.
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Ben’s Answer

Hey Abdullah, that's a fantastic question, and it seems like you're already thinking ahead about your future. I studied computer science and really enjoyed it. You might want to consider doing a double major or majoring in computer science with a minor in AI. This way, you can earn both degrees at the same time without spending extra years in college. I did a double major in Finance and Computer Science during my four years in college. Learning computer science will give you a strong foundation for success in AI. College can be some of the best years of your life, so make sure to explore all the opportunities it offers. Discover what you love and learn as much as you can!
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Marcos’s Answer

Hello Abdullah. Thanks for the background, and as to your question what should you do and what should you study. I believe we can reframe this to what degree will bring you closer to your end goal of building AI related tools. Is it a data science degree, or a comp-sci degree or maybe both? However, you still have a lot of time to decide on that.

As a 10th grader, who will be going to college in 6-7 years, I believe a lot can change in that time. Remember, 6-7 years ago (2019-2020) we did have any sort of AI! So, I'd be more flexible and malleable to any potential career path that forms. Maybe in that time there may be a more specialized field or degree in AI that you can choose. As for now, I would focus on excelling in the school subjects + skills that'll bring you closer to your end goal (math, computer science, and programing).

Hope it goes well.
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Aditya’s Answer

I think this is a smart approach, but it's also perfectly okay if you don't end up studying computer science. In today's world, people without coding experience are still able to build apps and cloud infrastructure with little to no experience, through technologies such as vibe coding. Even if you end up doing natural sciences (biology, chemistry, physics) or something social sciences related (economics, finance), you'll easily be able to build on the foundation for problem solving that these subjects give you to then be able to build in the AI world. Yes, computer science will help you learn the fundamentals, but in today's workforce, the ability to harness AI can stem from any practice. Go for what you're most interested in in the end!
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Soham’s Answer

Hey there Abdullah!
It’s great that you’ve identified your interests so early. Having a clear direction in 10th grade is a big advantage, and your plan to study computer science and then specialize in AI is an amazing plan.

I’d strongly encourage you to start building personal projects alongside your studies. The best way to learn is to solve real problems you see in your own life or in the lives of people around you. That will help you apply what you learn and grow your skills much faster.

Keep learning, keep building, and stay curious!
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Mehek’s Answer

Hi Abdullah, it's fantastic that you're already interested in AI and technology! Combining a CS degree with hands-on AI projects is a strong mix. The projects you create and the skills you gain will greatly benefit your career. If you want to dive deeper into AI, another graduate degree would be a great next step. Just keep focusing on learning and gaining experience, and the credentials will come naturally. Good luck with your goals!
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Nick’s Answer

Hi Abdullah, the good thing about AI is that it is expected to impact most industries and functions. So the question to answer will be how do you want to be engaged with AI? If your interest is building it for specific industries (e.g., manufacturing) or functions (e.g., marketing), then a degree relevant to manufacturing or marketing would be worth exploring. However, if you are more interested in AI in general (e.g., how it works, the technologies behind it, etc.), then an AI degree would be what you should look into.
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Kinshuk’s Answer

Your instinct is good — but the timeline needs work.Doing Bachelor's → 2nd Bachelor's → Master's back-to-back means 6–8+ years out of the industry before you earn a dollar or build real experience. That's a long time in a field moving as fast as AI.

A smarter path looks like this:
Right now (10th grade → college): Focus your Bachelor's on Computer Science. One degree, done well. If you can do it online alongside something else, make sure it's accredited and rigorous — not just a checkbox.
Right after your Bachelor's: Don't go back to school. Get into the industry. Intern aggressively during college, then land a role — even a junior one. AI companies, startups, consulting firms, any tech-adjacent job. This is where real learning happens.
~1 year into your job: Apply for a Master's in AI as an online/part-time program while you're working. Now your coursework is grounded in real problems you're actually solving. This is the move.
Drop the 2nd Bachelor's entirely. It adds years and cost without adding proportional value. A Master's already covers the AI depth you're looking for.

The bigger question you need to answer first:
Do you want to build with AI — or build AI itself?
These are genuinely different paths:

Building with AI means using AI tools, APIs, and models to create products and solve domain problems. Here, domain knowledge matters more than algorithms. An insurance professional who understands AI will out-build a computer scientist who doesn't understand insurance. The same is true in healthcare, legal, finance, education — any field. AI is increasingly abstracting away the engineering layer.
Building AI itself means researching and developing the models, neural architectures, and training systems underneath. This requires deep math, statistics, and research experience — and typically a PhD, not just a Master's.

Honest advice: Most people who say they want to "build AI things" actually mean they want to build great products powered by AI. If that's you, pick a domain you're genuinely curious about — not just "tech in general" — and become an expert in that domain plus AI. That combination is rare, valuable, and increasingly what the industry pays well for.
The computer science degree gives you the foundation. Industry experience gives you the domain. The Master's gives you the depth. Do them in that order, overlapping where you can.

Kinshuk recommends the following next steps:

Build a concrete study & career roadmap
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Raazia’s Answer

My recommendation: do one strong bachelor’s degree in Computer Science, not two bachelor’s degrees.
If you want to build AI products, the best path is usually CS + math + AI projects, then decide later whether you need a master’s in AI/ML.
Why: AI is built on core foundations—programming, data structures, algorithms, mathematics, statistics, and software engineering. A second bachelor’s in AI usually gives less value than using that time to do projects, internships, research, and a master’s.
A practical study path for you:


In 10th–12th grade, focus on foundations

Mathematics: algebra, functions, trigonometry, calculus prep, probability
Programming: start with Python
Logic/problem-solving: coding practice, basic algorithms
Communication: English writing and speaking matter more than most students think



For your first degree, choose one of these

Best option: Bachelor’s in Computer Science
Also good: CS with specialization/minor in AI, Data Science, or Mathematics
Only choose a pure AI bachelor’s if it is from a strong program with solid CS fundamentals



During the bachelor’s, study these subjects

Data structures and algorithms
Object-oriented programming
Databases
Operating systems
Computer networks
Software engineering
Linear algebra
Calculus
Probability and statistics
Machine learning
Deep learning
Data science / data handling



Build things alongside study

Python projects
Small AI apps
Kaggle or similar competitions
GitHub portfolio
Internships or freelance/student work



After the bachelor’s

If you still want deeper specialization, do a Master’s in AI/ML/Data Science
Skip the second bachelor’s unless your first degree is unrelated



So the cleaner path is:
10th grade → strong math + Python → Bachelor’s in CS → AI electives/projects/internships → Master’s in AI (optional but useful)
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Shareen’s Answer

Hi Abdullah! You're on the right path by focusing on AI, which is set to keep growing. Consider combining AI with cybersecurity; it's a powerful combination. While a computer science degree is useful, taking AI and cybersecurity courses will cover most of what you need. Many in the computer science field see their jobs becoming automated, so staying ahead is important. Some friends started with technical degrees like AI or cybersecurity and then added a business or management Master's to lead AI projects better. You can always pursue a Master's later. Hope this advice helps you!

Shareen recommends the following next steps:

Look into cybersecurity and information systems
Look into technical or managerial master's programs
Research jobs that are / are not at risk for being automated
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Justin’s Answer

Getting a bachelor’s degree in computer science is an excellent first step toward a career in AI. I studied computer science myself and now work in AI and engineering, so I can say it provides a strong foundation. As part of a CS degree, you’ll likely have opportunities to take AI-related courses that can help you get started and explore different career paths. AI is a broad field, with opportunities ranging from building chatbots to developing business solutions that improve operations. If you want to get a head start before college, there are also many online resources available to help you begin learning the basics.

Justin recommends the following next steps:

Khan Academy, Code academy, Code.org and there are so many more.
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Ponnu’s Answer

My advice: do not plan on two bachelor’s degrees. If you want to build AI products, the strongest path is usually:

One solid bachelor’s degree — preferably Computer Science
Strong math + programming skills
Projects, internships, and real building
Then decide later whether you actually need a master’s in AI
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Deepak’s Answer

The first thing you have to try and figure out is what field are you interested in? That will make a huge difference in determining what degrees you should get. Looks like you are interested in information technology and eventually AI. That's awesome but what you need to determine is which field: healthcare, finance, education, etc. By narrowing down by this, it will help you determine what degrees you should get.
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Dhivya’s Answer

Focus on earning a solid bachelor's degree, ideally in Computer Science, if you want to build AI products. Along the way, take AI-focused courses, work on projects, and seek internships. This path can help you gain strong skills, and you can always consider a master's degree later if you want to specialize further.
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Emmanuel T.’s Answer

Hey! It's fantastic that you're planning your future so early; you're already ahead of many people your age. If you're interested in building AI projects, keep things simple. You don't need multiple degrees. A bachelor's in Computer Science is a great choice because it covers the essential skills you'll need. While you're studying, try taking beginner AI courses online and work on small projects to build your skills. Later, if you want to specialize, you can consider a master's in AI. For now, focus on math, start learning to code (Python is a great start), and explore AI step by step. You're doing great! Keep it up!
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Jennifer’s Answer

Hi Abdullah! That's a great question - and an important one. You are already on the right track by starting to think about this. I would encourage you to consider:
- What classes do you enjoy now? Do you find yourself drawn to any type of course?
- What are your passionate about?
- What are you curious about?
- What could you envision yourself doing after college?
These will all hopefully narrow your options.

AI is booming right now - so there is a lot going on in the AI world right now. I'd encourage you to check out computer science, software engineering, data science, mathematics, computer engineering, electrical engineering... and seeing which of these are exciting to you or align with your skillset. AI is across industries, but these are some of the potential majors that come to mind your want to "build AI".

There is also ALOT available online that you can start playing with now that will help you learn and practice your coding skills, as well as help to see what you like and don't like. Good luck!
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Anita’s Answer

Focus on getting one bachelor's degree in Computer Science. It's a great starting point for a career in AI. Later, if you want to learn more, you can always pursue a master's in AI or machine learning.
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Brandon’s Answer

Hey Abdullah, your plan sounds awesome and ambitious and sure to lead you to many learning opportunities. If you were open to feedback, as others have mentioned it may be best to prioritize one area of study for your bachelor's degree before specializing with your masters. Some may find it superfluous to obtain two bachelor's degrees. I'm sure this would still be educational and gratifying, but the most efficient use of your time would probably be to pursue one bachelor's degree and double major, or use your masters degree to specialize. Whilst pursuing your bachelor's, use your tenure to become more specialized and decide how to best break into the AI space- do AI projects and internships and take courses more geared to that outcome.
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Hector’s Answer

Hi Abdullah... Nice to meet you virtually, and thank you for posting your question. That’s a great goal and starting in 10th grade thinking about your future professional career gives you a head start.
If you want to build AI projects, you usually don’t need 2 bachelor’s degrees. A computer science degree is already one of the best foundations for AI, and nowadays for any professional activity.

I think engaging in on bachelor’s (CS) and, alongside it, take online AI courses and build small projects. Then, if you still want to go deeper, you can do a master’s in Agentic AI later. What matters most is your skills and portfolio, not collecting multiple degrees.

Quick question: are you thinking of AI for apps/products (more practical) or research (more academic)?
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Jason’s Answer

This is a great question!

I always like to equate programming languages to hammers because it's a simple analogy that nearly everyone can relate to. Although hammers are a tool in all trade workers toolbelt the trade itself determines the type of hammer. Construction workers use a framing hammer, automotive or metal fabrication workers use a ball-peened hammer... etc...

Nearly all modern software engineering positions are going to require a considerable focus on OOP patterns however much has changes since the original Gang of Four, Design Patterns book was written in the 1990's. Most modern OOP programming languages include opinionated specifications for these patterns baked into the compiler.

However game development for example, even though OOP languages are industry standard focus on an entirely different skillset.

OOP is a highly sought after programming paradigm in most corporate or enterprise work environments due to its native ability to translate data to real world behaviors(objects). Additionally, most modern cloud native distributed systems will feature a heavy reliance on OOP fundamentals alongside other paradigms such as imperative or functional programming.

I would highly recommend spending time familiarizing yourself with the following books and reading materials

Reading Fundamentals
- Design Patterns: https://en.wikipedia.org/wiki/Design_Patterns
- Agile Software Development(S.O.L.I.D. Patterns):
- https://www.amazon.com/Software-Development-Principles-Patterns-Practices/dp/0135974445 or
- https://www.amazon.com/Agile-Principles-Patterns-Practices-C/dp/0131857258
- Clean Architecture: https://www.oreilly.com/library/view/clean-architecture-a/9780134494272/
- Working Effectively with Legacy Code: https://www.amazon.com/Working-Effectively-Legacy-Michael-Feathers/dp/0131177052
- Test Driven Development: By Example: https://www.amazon.com/Test-Driven-Development-Kent-Beck/dp/0321146530
- Designing Data-Intensive Applications: https://www.oreilly.com/library/view/designing-data-intensive-applications/9781491903063/
- Database Internals: https://www.oreilly.com/library/view/database-internals/9781492040330/

Microservice & Cloud Native
- Microservices Patterns: https://www.oreilly.com/library/view/microservices-patterns/9781617294549/
- Building Microservices: https://www.oreilly.com/library/view/building-microservices-2nd/9781492034018/
- Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/

AI Assisted Development
- Beyond Vibe Coding: https://www.oreilly.com/library/view/beyond-vibe-coding/9798341634749/

LeetCode Exercises
- https://leetcode.com/discuss/post/4595959/oops-basic-to-advanced-topics-part-1-int-heyk/
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Vinit’s Answer

With a strong computer science bachelor's degree, you already have a solid foundation in math and programming, which are essential for AI. The field evolves rapidly, so pursuing another undergraduate degree might mean learning outdated information by the time you finish.

Instead of investing in a formal online degree, which could be costly and time-consuming, explore these more beneficial options:

1. MIT OpenCourseWare offers free access to real MIT courses.
2. Fast.ai provides practical deep learning lessons that are highly respected in the industry.
3. Harvard and Stanford offer free, high-quality courses on YouTube.
4. Create small projects and share them on GitHub to gain hands-on experience.

Vinit recommends the following next steps:

One BS in Computer Science with a concentration or heavy elective track in Machine Learning / AI
Go straight into a Master's in AI or Machine Learning
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