Program Overview

Diploma in Data Science Programming

The Diploma in Data Science Programming is a five-course program designed to equip individuals with the skills to mine and analyze big data. This program is ideal for those interested in technology, entrepreneurship, or students working with data.

Program Overview

To succeed in this highly dynamic field, students are required to dedicate 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will need more time to gain familiarity with the concepts. This is an online, synchronous program.

Your Takeaways

This diploma provides students with the ability to:

• Understand the core infrastructure concepts to deploy Big Data applications at scale
• Acquire practical expertise with those concepts using state-of-the-art cloud systems
• Deploy analytics solutions on cloud systems

Program Courses

To obtain this diploma, students must complete the following four courses and one of the two elective courses:

• Intro to Python (CEBD 1100)
• Programming for Data Analytics (CEBD 1160)
• Machine Learning (CEBD 1260)
• Big Data Infrastructure (CEBD 1261)
  • Electives:
    • Intro to SQL (CEWP 215)
    • Intro to R (CEBD 1200)

Our Approach

This program offers real-world knowledge, experience, and insights through lectures from experienced professionals. Students learn through hands-on projects that focus on the acquisition of practical, real-world skills, not just theory. Instruction is provided by industry professionals using the latest technologies and software.

Who Benefits Most

This program is beneficial for:

• Individuals who want to improve their organization's performance by better harnessing Big Data
• Professionals who want to leverage data for better decision-making
• Entrepreneurs with projects that could benefit from data analytics
• Students in fields like geography, biology, psychology, humanities, or any other field with big data
• IT professionals who want to transition to Big Data from more traditional sectors