Week 4 - My CSUMB Journey

Part One. Educational Goals

When I first entered the Computer Science program, I imagined the path ahead would be fairly straightforward; learn the material, complete the assignments, and progress smoothly toward graduation. However, I quickly discovered that the depth and pace of the coursework requires much more persistence, discipline, and resilience than I had initially anticipated. This realization has reshaped the way I approach my studies and clarified what I want out of my education.

My goal now is not only to complete the program successfully but to immerse myself fully in the areas that will prepare me for a career in data science. I want to strengthen my abilities in programming, algorithms, and statistical analysis, while also building a deep understanding of databases and machine learning concepts. I know there will be difficult subjects along the way, but I see these challenges as stepping stones to mastering the skills I will need in the future. Ultimately, I envision myself finishing this degree with the knowledge and confidence to apply what I’ve learned directly to real-world data problems.

Part Two. Career Goals

Looking ahead, my career goal is to become a data scientist who can transform complex datasets into meaningful insights that drive innovation. I envision myself working on projects that do more than just interpret numbers. I want to uncover patterns that can improve decision-making, solve pressing challenges, and perhaps even influence the direction of industries. Whether I work for a leading company in technology or join a research-driven team, my focus will be on applying data-driven approaches to create tangible impact.

What excites me most about this path is the potential for growth and contribution. Data science is a constantly evolving field, and I want to be part of that movement rather than watch from the sidelines. My long-term vision is to not only excel as an analyst and problem-solver but also to take on leadership roles where I can mentor others and guide projects toward meaningful outcomes. The idea of being at the intersection of technology, data, and human progress is what fuels my determination to work hard now and prepare for the future I envision.

Part Three. ETS Computer Science Test.

After reviewing the ETS Computer Science Major Field Test description and sample questions, I feel both challenged and motivated about what will be expected of me. The exam clearly goes beyond memorization, requiring strong problem-solving skills and the ability to interpret concepts presented in different forms. Since I am only in my first semester, much of the material is still ahead of me, and I can see that I will need to steadily build my foundation throughout the program.

If I were to take the test right now, I would likely place in the lower percentiles, perhaps around the 20th or 30th, simply because I haven’t yet covered enough coursework. However, by my second-to-last semester, I can envision myself reaching the 70th percentile or higher. With consistent effort, I expect to gain both the theoretical grounding and practical problem-solving ability to perform at that level.

Thinking about the test in terms of percentiles excites me because it gives me a concrete benchmark for progress. The idea that I can start as a beginner and, by the end of my degree, be well above average compared to peers nationwide motivates me to stay focused in my studies. It reminds me that each class is not only preparing me for graduation but also positioning me for the larger goals I have in data science.

Part Four. Keep Up With Your Learning Journal

This week’s readings and activities gave me a clearer sense of how to approach my growth both as a student and as a future professional. From the goal-setting articles, I learned the importance of making goals specific, measurable, and vivid so that they are not just ideas but something I can clearly picture myself achieving. I realized that writing goals down and connecting them to my deeper motivations makes them more meaningful, and this in turn increases the likelihood that I will stay committed to them.

I also learned how valuable it can be to create a personal mission statement. The process of identifying my values, interests, and long-term vision helped me think more intentionally about why I am in this program and what I hope to contribute in my career. Framing my goals through that mission statement makes them feel less like isolated tasks and more like steps along a larger path.

Finally, the career-focused reading reminded me that goals should extend beyond academics into professional development. Thinking about examples of career goals; such as building new skills, expanding my network, and aiming for a clear role in the future, made me reflect on what kind of impact I want to have. These activities motivated me to connect my studies more directly to the bigger picture of becoming a data scientist and using data to drive positive change. 

This week, I also interviewed a CSUMB alum who is making her mark in the field. Hearing from someone who has walked the same path I’m beginning was genuinely encouraging. She has already accomplished a great deal and offered insightful, actionable guidance for my studies, along with concrete steps I can start taking now to prepare for my career.

Overall, this week reinforced the idea that goal-setting is not just about discipline but also about vision. It is about seeing where I want to be, believing in that image, and taking consistent steps now to bring it to life.