The Computer Science Minor presents a specialized curriculum that empowers students with proficient programming skills tailored for complex problem-solving and data analysis scenarios. The program highlights Python Programming, Machine Learning, Data Mining, and Data Visualization as key components. With the overarching goal of cultivating adept professionals for sought-after domains such as data science, the program capitalizes on Python’s ubiquity in contemporary technology landscapes, particularly within data analysis and machine learning. This strategic initiative provides students with a multifaceted array of advantages, positioning them for impactful and versatile career trajectories.

In the 21st century, computer science and programming have become vital, profoundly influencing modern life. They fuel innovation, automate tasks, connect globally, uncover insights from data, and offer varied careers. From computing’s start to user-friendly languages, personal computing, internet growth, AI progress, and emerging tech like blockchain and quantum computing, their evolution shapes how we communicate, work, and learn. These fields continue to play a key role in shaping our future.

In the current ever-changing tech scene, Python stands out as a significant programming language, making it an appealing choice for students entering a minor program. Python’s adaptability spans various areas, including data analysis, AI, web development, and automation, thus equipping students with versatile skills across different fields. Its adoption by industry giants like Google, Facebook, Instagram, and Netflix showcases its relevance and impact. In essence, Python’s widespread use in big companies and its ongoing expansion demonstrate its pivotal role in shaping the technological landscape and addressing the evolving needs of businesses. Its user-friendly syntax facilitates a quick learning curve, enabling students to grasp programming concepts promptly and explore creative possibilities. Exploring Python’s extensive libraries for data manipulation, visualization, and machine learning equips them with practical skills for real-world applications. The minor aligns with industry’s demand for Python proficiency, empowering students with pertinent abilities that unlock varied career paths. This strategic emphasis on Python cultivates technical prowess and adept problem-solving, positioning students as adaptable and competitive tech professionals in our technology-driven era.

In essence, computer science and programming are crucial due to their significant influence on modern life. Their ongoing evolution mirrors a path of innovation that shapes our digital existence.

In a computer science minor course, the inclusion of Python I, object-oriented programming, data analysis and visualization, and machine learning carries immense significance, as they collectively shape students’ academic journey and career prospects.

Degree Plan (CS Minor: 18 Credit hours)


Python Programming I: CSCI 1220 (3 credits)

Discrete Mathematics: MATH 2431 (3 credits)  

Object-Oriented Programming (Python II): CSCI 2210 (3 credits)

Statistics: MATH 1350 (3 credits)

Data Analysis and Visualization: CSCI 3210  (3 credits)

Machine Learning: CSCI 3220   (3 credits)

The role of these components in shaping students’ lives and job prospects is profound. Python I introduces them to coding fundamentals, setting the stage for advanced programming skills. Object-oriented programming fosters software development practices that align with industry standards. Data analysis and visualization capabilities empower students to harness the potential of data-driven decision-making, enhancing their adaptability to various roles. Finally, machine learning proficiency equips students with futuristic skills that are at the forefront of technological advancements. Collectively, these components not only enrich students’ academic experience but also significantly bolster their career trajectories, making them well-rounded and competitive professionals in the ever-evolving field of computer science.