Choosing between CS (Computer Science) and CS with a Data Science specialization depends on your interests and career goals.

Provides a broad foundation in computer science principles, algorithms, data structures, programming languages, software engineering, and computer architecture .Opens doors to a wide range of software development, engineering, and IT-related jobs like software engineer, systems engineer, web developer, mobile app developer, and more.

A pure CS degree allows you to explore various specializations later in your career, such as data science, machine learning, cybersecurity, or artificial intelligence.

CS with Data Science Specialization:

Combines core computer science concepts with data analysis, machine learning, statistics, and big data processing. Prepares you for data science, data analysis, machine learning engineering, business intelligence, and other data-driven roles. Data science skills are currently in high demand across various industries.

If you enjoy coding, problem-solving, and building software applications, pure CS might be a good fit. If you are fascinated by data analysis, statistics, and extracting insights from information, data science specialization could be more appealing.

CS graduates have strong employment opportunities in various software development and IT fields. You might be well-suited for data science and related roles, but could still be considered for some software development jobs depending on your skills and experience.

I hope it helps!