The Vision

Coming into OMSCS, my core objective is to bridge the gap between self-taught curiosity and academic rigor. I’ve always thrived in the structured environment of academia, and this program is the perfect vehicle to explore AI/ML at a graduate level.

With six specializations available, I’m positioning myself at the intersection of Machine Learning and Artificial Intelligence. After deep-diving into OMSCentral and Reddit (and being successfully influenced by Ben Johnson’s YouTube content), I’ve mapped out my trajectory.

The Core Curriculum

I’ve selected these classes to build a baseline exposure that allows me to eventually “plant” myself in a specific niche like FinTech or HealthTech.

01. The Heavy Hitters

• Machine Learning for Trading: My intended 101. Merging ML with Finance is exactly where I want to be.
• Artificial Intelligence: The syllabus is intimidating, but the projects are high-signal.
• Graduate Algorithms: The “final boss.” I want to take this to ensure I’m technically cracked.

02. The “Engineering” Track

• Software Design Processes: Strengthening the foundational workflow.
• AI, Ethics, and Society: A critical look at the moral implications of what we’re building.

Strategic Alternatives

If workload becomes a factor or burnout hits, I’m eyeing these “pivot” classes:

Category	Course
System Design	Software Architecture and Design
Specialized AI	Deep Learning, NLP, or Reinforcement Learning
HealthTech	Big Data Analytics for Healthcare, Health Informatics
UX/UI	Human Computer Interface

The End Goal

The area I’m currently lacking in isn’t interest—it’s niche depth. I know I love the intersection of AI and Finance/Biology, but I don’t yet know the specific sub-sects where I can provide the most value.

This curriculum isn’t just about the degree; it’s about gaining the baseline exposure needed to find my “forever niche” and skilling up until I’m an expert in that domain.

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Mindset: Currently ambitious. Ready for the grind.