Arpan_AaraConsultancy
Both AI and Data Science offer excellent career prospects, but for freshers—especially international students—an MS in Data Science with AI/ML electives tends to offer better entry-level opportunities and broader industry demand.
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AI roles (like Machine Learning Engineer or AI Researcher) are highly specialized and competitive. While they offer high salaries (e.g., ML Engineer ~£74K/year), they often require strong fundamentals in math, deep learning, and prior project experience.
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Data Science, on the other hand, is in demand across multiple sectors like finance, healthcare, retail, and tech. Entry-level salaries start from £30K–£45K and can reach £90K+ in niche areas. It’s more accessible for fresh graduates, especially if you build a strong portfolio.

That said, an MSc alone won’t guarantee a job. Real-world projects, internships, and a solid understanding of tools like Python, SQL, Power BI, TensorFlow, etc., are critical. Many UK/Europe jobs require 2–3 years of experience, and visa sponsorship can be a hurdle.
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My advice: Go for Data Science to gain broader exposure and build practical skills. Later, you can pivot deeper into AI roles through projects or certifications.

Action plan:
Work on Kaggle/GitHub projects
Learn Python, SQL, cloud tools (AWS/GCP), PyTorch
Gain internship experience
Build soft skills like data storytelling
Keep upskilling through short courses (Coursera, edX, Udemy)