MS in Computer Science with a low CGPA?

University Discussions Arizona State University
1

I have a B.Tech in Electronics and Communication with a CGPA of 6/10. I’m interested in pursuing an MS in the US in Computer Science, AI/ML, or Data Analytics. What steps can I take to improve my profile and increase my chances of admission to a reputable university, I am confused between Northeastern University and Arizona State University? Which would be more suitable?

2

Okay, let’s break this down. First, don’t worry too much about the GPA. It’s definitely a factor, but it’s not the only one. US universities look at the whole application. You can definitely strengthen other areas to compensate.

3

That’s good to hear! What areas should I focus on?

4

A few key things: First, gain relevant experience. Since you’re targeting CS, AI/ML, or Data Analytics, any projects, internships, or even online courses in those areas will be HUGE. Show them you’re serious about the field and have some practical skills.

5

I’ve done a couple of small personal projects related to machine learning. Should I highlight those?

6

Absolutely! Detail them in your application. Explain what you did, what you learned, and any impactful outcomes. If you can quantify your results, even better. And if you can get any internships, even better. That real-world experience is gold.

7

Okay, projects and internships. Got it. What about the GRE? Will a good score help offset my GPA?

8

Hi,

With a B.Tech (ECE, 6/10 CGPA), you can pursue an MS in CS, AI/ML, or Data Analytics in the US, but you’ll need a strong profile.

How to Improve Your Profile

  • GRE: Aim 320+ (Quant-focused), 4.0+ AWA for competitiveness.
  • Technical Skills: Master Python, Java/C++ (if possible), SQL, TensorFlow, and data visualization tools.
  • Projects & Research: Build AI/ML models, data analytics dashboards, and contribute to open-source. Use GitHub to showcase work.
  • Work Experience: Intern or work in software, AI/ML, or data analytics.
  • SOP & LORs: Clearly explain ECE to CS transition, highlight projects, and get strong recommendations.

NEU vs. ASU?

  • Northeastern (NEU) – Strong co-op program, Boston tech hub, but competitive & costly.
  • Arizona State University (ASU) – Easier admissions, lower cost, solid AI/ML research, but fewer co-op opportunities.

Which One?

  • Strong profile? → NEU for better career prospects.
  • Good but not exceptional? → ASU for a balanced option.
  • Best approach? → Apply to both + 2-3 other schools for better chances.

Your CGPA isn’t a dealbreaker—focus on GRE, projects, and experience to maximize your chances!