10 Degrees That Will Still Be Valuable in 2035
Choosing a degree today is no longer simply about asking, “What job can I get after graduation?”
A better question is: “Will the skills I develop still matter 10 years from now?”
By 2035, artificial intelligence, automation, robotics, climate technology, biotechnology, cybersecurity and digital transformation are likely to reshape thousands of occupations. The World Economic Forum estimates that almost 40% of workers' core skills could change by 2030, while technology skills and human capabilities such as analytical thinking, creativity, resilience and collaboration are expected to remain important.
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That does not mean traditional degrees will suddenly become useless. In fact, some of the strongest long-term career options will come from degrees that combine technical expertise, human judgment, and real-world problem-solving.
If you are currently deciding what to study, here are 10 degrees worth considering for the 2035 job market.
What Makes a Degree Valuable in 2035?
A future-proof degree is not necessarily one attached to the latest technology.
The strongest degrees usually have several characteristics:
- They solve important real-world problems.
- Their skills can be applied across industries.
- They benefit from technological advancement rather than being completely replaced by it.
- They provide opportunities for specialization.
- They develop both technical and human skills.
- They allow graduates to keep learning as industries change.
The OECD's recent research on AI and skills makes an important point: most workers affected by AI will not need to become AI specialists. Instead, many will need stronger digital, analytical and data-related capabilities.
1. Computer Science and Software Engineering
Computer Science remains one of the strongest choices for students interested in technology.
Software is now part of almost every industry, including healthcare, banking, manufacturing, education, transportation and entertainment.
Career opportunities
- Software Developer
- Cloud Engineer
- AI Engineer
- Systems Architect
- DevOps Engineer
- Application Developer
The U.S. Bureau of Labor Statistics projects 15% employment growth for software developers, quality assurance analysts and testers between 2024 and 2034, substantially faster than the average for occupations overall.
2035 advantage: The degree provides a foundation that can evolve into AI, cloud computing, robotics, cybersecurity or other emerging technologies.
2. Artificial Intelligence and Machine Learning
If one field has changed the conversation around future careers, it is AI.
AI and machine learning specialists are already among the fastest-growing occupations identified by the World Economic Forum.
What students learn
- Python
- Machine learning
- Deep learning
- Statistics
- Data modeling
- Neural networks
- AI systems
Possible careers
AI Engineer, Machine Learning Engineer, Computer Vision Engineer, NLP Specialist, and AI Researcher.
One thing many beginners miss: AI is not only about prompting a chatbot. Strong AI careers require mathematics, programming, data understanding, and problem-solving.
3. Data Science and Analytics
Businesses increasingly depend on data to understand customers, predict demand, identify risks and make decisions.
That makes professionals who can turn raw information into useful insights valuable.
Career options
| Data Scientist | Python, statistics, ML | Very High |
| Data Analyst | SQL, Excel, BI | High |
| Data Engineer | Databases, cloud | Very High |
| Business Analyst | Analytics, communication | High |
The OECD reports that AI is increasing the importance of being able to use, analyze and interpret data.
Best for: Students who enjoy mathematics, logic, technology and problem-solving.
4. Cybersecurity
As more services move online, protecting information becomes increasingly important.
Cybersecurity is not limited to large technology companies. Banks, hospitals, governments, universities, retailers and small businesses all need protection against cyber threats.
Potential careers
- Cybersecurity Analyst
- Security Engineer
- Ethical Hacker
- Security Consultant
- Incident Response Specialist
- Cloud Security Engineer
The World Economic Forum lists networks and cybersecurity among the fastest-growing skill areas toward 2030.
Why it could remain valuable in 2035: Technology may change the tools attackers use, but the need to protect systems, identities and sensitive information remains.
5. Healthcare and Nursing
Technology may automate paperwork and assist with diagnosis, but healthcare still depends heavily on human interaction, judgment, empathy and physical care.
This makes healthcare degrees particularly interesting for long-term career planning.
Examples
- Nursing
- Public Health
- Physiotherapy
- Occupational Therapy
- Medical Laboratory Science
- Healthcare Administration
Healthcare also offers international career possibilities, although licensing and professional recognition vary by country.
For students considering healthcare without pursuing medicine, specialized healthcare degrees can provide alternative career pathways.
6. Biotechnology and Life Sciences
Biotechnology sits at the intersection of biology, medicine, agriculture, and technology.
Potential applications include:
- Drug development
- Genetic research
- Diagnostics
- Agricultural biotechnology
- Bioinformatics
- Personalized medicine
As scientific research becomes increasingly data-driven, professionals who understand both biological systems and computational methods could have an advantage.
A particularly strong combination: biotechnology + data analysis + AI.
7. Renewable Energy and Environmental Engineering
The transition toward cleaner energy is creating demand for professionals who understand energy systems, sustainability, and environmental challenges.
The World Economic Forum identifies renewable-energy and environmental-engineering roles among the fastest-growing occupations through 2030.
Possible career areas
- Solar Energy
- Wind Energy
- Battery Technology
- Energy Management
- Environmental Engineering
- Sustainable Infrastructure
This field is especially relevant because climate and energy challenges are not temporary technology trends.
8. Electrical and Electronics Engineering
Modern technology ultimately depends on physical infrastructure.
Electric vehicles, robotics, renewable energy systems, smart devices, automation, and advanced manufacturing all require electrical and electronic expertise.
Students can specialize in areas such as:
- Embedded systems
- Robotics
- Semiconductor technology
- Electric vehicles
- Automation
- Power systems
This is a good example of a degree that can evolve with technology rather than compete against it.
9. Business, Economics and Finance
It may seem surprising to see business and finance on a list of future-proof degrees during the AI era.
But organizations will still need people who understand markets, strategy, risk, investment and decision-making.
The role will simply change.
Instead of relying entirely on manual calculations and reporting, future professionals may use AI and analytics to support higher-level decisions.
Strong combinations include:
Finance + Data Analytics
Economics + AI
Business + Technology
Finance + Cybersecurity
The OECD notes that AI is changing the skills required across occupations, reinforcing the importance of combining technical capabilities with broader business and professional skills.
10. Psychology and Human Behaviour
AI can analyze enormous amounts of information, but understanding people remains complicated.
Psychology has applications in:
- Mental health
- Human resources
- Education
- Consumer research
- Organizational behavior
- User experience
- Behavioral science
The degree becomes even more powerful when combined with areas such as neuroscience, technology, research methods or data analysis.
This is an important reminder that future-proof education is not limited to STEM.
Which Degrees Have the Strongest Future Potential?
Here is a simple comparison:
| Computer Science | Very High | Very High | Very High | Excellent |
| AI & Machine Learning | Very High | Very High | High | Excellent |
| Data Science | Very High | Very High | Very High | Excellent |
| Cybersecurity | Very High | Very High | High | Excellent |
| Healthcare/Nursing | High | Very High | High | Excellent |
| Biotechnology | High | High | High | Very High |
| Renewable Energy | High | High | High | Very High |
| Electrical Engineering | High | High | Very High | Very High |
| Business/Finance | High | High | Very High | Very High |
| Psychology | Medium-High | High | High | Very High |
These are not guaranteed rankings. The value of any degree depends on country, specialization, institution, professional licensing, economic conditions and—most importantly—the graduate's skills.
How to Choose the Right Degree for 2035
Here is what actually works.
Step 1: Start With Yourself
Ask:
- What subjects do I enjoy?
- What type of problems do I like solving?
- Do I prefer people, technology, business, or research?
- What kind of work environment suits me?
Step 2: Study the Industry
Don't choose a degree because someone on social media called it “the next big thing.”
Look at:
- Job demand
- Required skills
- Career progression
- International opportunities
- Professional licensing
- Automation exposure
Step 3: Add Technology Skills
Regardless of your degree, digital literacy is becoming increasingly important.
A psychology student can learn data analysis.
A finance student can learn Python.
A healthcare student can understand health informatics.
A business student can learn AI tools.
Step 4: Gain Practical Experience
Internships, projects, research, competitions, and real-world assignments can make a major difference.
Step 5: Keep Learning
A degree should be your foundation—not your final qualification.
The World Economic Forum expects employers to place increasing emphasis on both technological skills and human capabilities such as analytical thinking, creativity, resilience and collaboration.
Beginner Strategy vs Advanced Strategy
If you are just starting
Focus on:
- Strong academic fundamentals
- Digital literacy
- Communication skills
- One practical skill
- Internships or projects
- Career exploration
If you already have a degree
Consider adding:
- Professional certifications
- AI literacy
- Data analytics
- Industry specialization
- Leadership skills
- International experience
You don't always need another full degree to stay relevant.
Common Mistakes to Avoid
Choosing only because of salary
High salary today does not guarantee long-term relevance.
Following every AI trend
Not every new technology will become a sustainable career.
Ignoring human skills
Communication, leadership, creativity and collaboration remain valuable alongside technical skills.
Treating the degree as enough
A qualification gets you started. Skills and experience help you progress.
Ignoring global mobility
If you want an international career, investigate professional recognition, language requirements and licensing before choosing your specialization.
Tools and Platforms for Future Career Preparation
Depending on your field, useful learning options include:
Beginner-friendly/free: YouTube, freeCodeCamp, SWAYAM, NPTEL
Affordable: Udemy, Coursera
Professional learning: LinkedIn Learning, specialized university programs, and industry certifications
The right platform matters less than whether you consistently build useful skills and apply them.
Future Trends Students Should Watch
By 2035, several themes are likely to influence higher education and employment:
- AI-assisted work
- Human-AI collaboration
- Cybersecurity
- Data-driven decision-making
- Renewable energy
- Robotics and automation
- Healthcare technology
- Biotechnology
- Digital finance
- Lifelong learning
The OECD's Future of Education and Skills work emphasizes preparing learners for jobs that may not yet exist and technologies that have not yet been invented.
That is perhaps the most important lesson.
Don't try to predict the exact job title of 2035. Build capabilities that can survive change.
Real-World Example: Two Students, Two Outcomes
Imagine two students graduate with similar degrees.
Student A completes the degree, memorizes course material, and stops learning.
Student B completes the same degree but also develops communication skills, completes internships, builds projects, learns AI tools, and follows industry changes.
Ten years later, their outcomes could be dramatically different.
The difference isn't necessarily the degree.
It is how the degree was used.
Expert Best Practices for a Future-Proof Career
The strongest approach is to build a T-shaped skill profile:
Deep expertise in one field + broad knowledge of technology, communication, and business.
For example:
- Data Science + business
- Nursing + healthcare technology
- Finance + analytics
- Psychology + behavioral data
- Engineering + sustainability
- Computer Science + AI
This approach provides specialization without becoming overly dependent on one narrow skill.
Frequently Asked Questions
Which degree will be most valuable in 2035?
There will not be one universally best degree. Computer Science, AI, Data Science, Cybersecurity, Healthcare, Biotechnology, Renewable Energy and several engineering fields have strong long-term potential.
Are traditional degrees still worth it in 2035?
Yes. Traditional degrees can remain valuable when they provide strong fundamentals and are combined with modern technical, analytical and human skills.
Is AI going to replace computer science degrees?
AI may automate some programming tasks, but computer science remains a foundation for understanding software, computing systems, AI, cybersecurity and emerging technologies.
Which degrees are safest from AI?
No degree is completely immune to technological change. Degrees involving human judgment, physical-world work, complex decision-making and specialized expertise may be more resilient, but every profession will evolve.
Should I choose a degree based only on future salary?
No. Consider your interests, abilities, career demand, work environment, education cost, geographic mobility and opportunities for specialization.
Can a non-technical student prepare for future careers?
Absolutely. Future careers need more than coding. Business, healthcare, psychology, sustainability and other fields can become highly valuable when combined with digital and analytical skills.
How can students prepare for careers in 2035?
Start with a strong academic foundation, develop practical skills, learn to use technology effectively, gain real-world experience, and continue reskilling throughout your career.
Final Advice: Think Beyond the Degree
The most valuable degree in 2035 may not be the one with the most impressive title.
It will be the one that gives you knowledge you can adapt, skills you can apply, and a foundation you can keep building on.
Technology will continue to change. Some jobs will disappear, new ones will emerge, and existing professions will be redesigned.
The World Economic Forum already projects significant job creation alongside displacement by 2030, while emphasizing that both technology skills and human capabilities will matter.
So if you're choosing a degree today, don't ask only:
“What job will this degree give me?”
Ask:
“What problems will I be able to solve with this degree—and how can I keep improving for the next 10 years?”
That mindset is far more likely to create a genuinely future-ready career.
For students still comparing options, exploring best courses for future jobs and learning how to choose a career based on skills and interests can be a useful next step.