What is Data Science?

Do you find the potential of data fascinating?
Data Science extracts insights from data for business and beyond, merging mathematics, statistics, AI, and computer engineering. It's crucial in today’s data-rich world, helping organizations find patterns and insights for informed decision-making. Revolutionizing industries, it encompasses complex analysis, predictive modeling, and more.

Why study Data Science @ Northern?

Delve into statistics, programming, and data visualization in a supportive community along with original undergraduate research opportunities. Explore machine learning, big data, and artificial intelligence in depth. Gain practical skills for real-world applications and seamlessly transfer to related bachelor’s programs like Computer Science or Information Technology.

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More about the program:

Students gain a solid foundation in data science principles and proficiency in languages like Python and R.

Graduates can confidently tackle real-world data challenges, analyze complex datasets, build predictive models, and generate actionable recommendations.

Completion of the certificate opens doors to diverse career opportunities and professional growth. Equipped for success in the evolving field of data science, graduates seamlessly transition into advanced studies or enter the workforce with confidence.

Undergraduate Research Opportunities:

Students can participate in original research projects made possible by funding through the Alliance for Minority Participation (AMP) Program and the NM-INBRE Grant. These projects allow students to work alongside experienced faculty, present at student conferences, and prepare for graduate and career opportunities. Learn more about Undergraduate Research Opportunities @Northern.

Career pathways

  • Direct Career Paths: Well positioned for further studies and immediate employment, graduates secure roles like data analyst, machine learning engineer, and business intelligence professionals in diverse industries. 
  • Further Education Options: Advanced degrees in Computer Science, Statistics, or Business Analytics for specialization.
  • Transferable Skills: Critical thinking and analytic abilities are desirable for management and consulting roles, as well as contributing to decision-making processes in research or academia.
  • Versatile Applications: Data science skills are applicable across sectors, from finance to healthcare, offering diverse career opportunities.