Data science, AI, cybersecurity or software engineering: choosing a direction in second year

Daily work: Writing code, building features, fixing bugs, deploying to production, reviewing other people's code, and talking to product teams about what to build next.

Skills needed: At least one programming language in depth, a web or mobile framework, Git, databases, and deployment. Your CS degree covers the foundations; you build the rest.

Job market in Kenya: The largest employer of tech graduates. Startups, agencies, fintech companies, and remote jobs all need software engineers. The market is competitive but large.

Try it: Build a real project and deploy it. If the process of building a working product excited you, this is your field.

Daily work: Cleaning data, writing SQL and Python, building visualisations, running statistical analyses, and presenting findings to people who make business decisions.

Skills needed: Python (pandas, matplotlib, scikit-learn), SQL, statistics, and clear communication. The maths from your CS degree (probability, linear algebra) becomes directly useful here.

Job market in Kenya: Growing, especially in fintech, banking, telecom, and health. Fewer roles than software engineering, but less competition too. Companies like Safaricom, banks, and NGOs hire data analysts and scientists.

Try it: Download a public dataset, clean it, and answer a specific question with a chart and a written summary. If you enjoyed the detective work, data science might be your path.

Daily work: Training models, tuning parameters, building data pipelines, integrating AI into products, and reading research papers to stay current.

Skills needed: Strong Python, linear algebra, probability, and frameworks like TensorFlow or PyTorch. AI builds on data science, so starting with data analysis is a natural stepping stone.

Job market in Kenya: Still small but growing. AI is reshaping every industry, and Kenyan companies are starting to hire for it. International remote roles are more available than local ones for now.

Try it: Build a simple AI project using an API. If you want to go deeper, train a simple model on a small dataset. If the process fascinated you, explore further.

Daily work: Monitoring systems for threats, testing for vulnerabilities, responding to incidents, writing security policies, and educating teams about secure practices.

Skills needed: Networking (TCP/IP, DNS, firewalls), Linux, scripting (Python, Bash), and understanding of common attack patterns. Certifications like CompTIA Security+ and CEH carry weight in this field.

Job market in Kenya: Strong and growing. Banks, telecom companies, government, and any organisation handling sensitive data needs security professionals. The supply of qualified people is low, which means good opportunities for those who specialise.

Try it: Set up a vulnerable machine (TryHackMe or HackTheBox have free tiers) and try to find the vulnerabilities. If the puzzle of breaking and defending systems excites you, cybersecurity is worth pursuing.

You do not need to commit in second year. You need to explore. Here is how:

Try one project in each area that interests you. Build a website (SE), analyse a dataset (DS), call an AI API (AI), or complete a CTF challenge (security). Each takes a weekend. Your reaction to each one tells you more than any article.

Talk to people who work in each field. Find them on LinkedIn or at meetups. Ask: "What does a typical day look like?" The answer will either excite you or bore you. Both responses are useful information.

Take electives in your area of interest. If your CS programme offers electives in databases, AI, networking, or security, use them to test your interest before specialising.

Keep software engineering as a base. Every tech specialisation benefits from being able to write code and build things. Even if you specialise in data or security, the ability to build a tool or automate a process makes you more effective.