Professional Certificate in Data Engineering

• Career Launchers: Recent STEM graduates/post-graduates/interns looking to start a career in this high-growth field by gaining exposure to data engineering

• Career Builders: Early career software engineers/technology professionals seeking to train in the latest data engineering tools and techniques and advance their careers

• Career Switchers: Mid-career professionals aiming to switch to data engineering from IT, analytics, finance, project management, supply chain, or another technical field

Applicants must have:

• A bachelor's degree or higher

• Strong math skills

Also recommended:

• An educational background in STEM fields

• Technical work experience

• Some experience with Python, R, or SQL

• Some experience with statistics and calculus

This program is designed to give you the skills you need to start or continue your career in data engineering. High-level learning outcomes for this program include:

• Develop and analyze databases using data science and data engineering tools and skills, including SQL and Python

• Configure a network to ensure data security

• Implement artificial intelligence (AI)/machine learning (ML) algorithms, including those for reinforcement learning and deep neural networks

• Manage big data using data warehousing and workflow management platforms

• Build a user interface to view and interact with large amounts of live streaming data

• Create a GitHub portfolio to present the projects that you create to potential employers

Stepping into a career in data engineering requires a variety of skills, both hard and soft. This course offers you guidance for navigating a career path into tech, including crafting your materials and acing an interview. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes course leaders to help you reach your learning goals. The primary objective is to give you the skills needed to be prepared for a job in this field.

Elements of the career preparation aspects of this course include:

• Crafting your elevator pitch

• Optimizing your LinkedIn profile

• Writing resumes/cover letters

• Navigating your job search

• Learning interview tips and preparation"

• Negotiating salary

Career exercises focused on launching a career as a data engineer include:

• Building your personal brand and promoting your skills

• Communicating technical concepts to non-technical colleagues

• Understanding the roles and workflow of Agile development

• Reflecting on your skills to discover how to troubleshoot and learn more quickly

• Job search and interviewing for data engineering positions

We offer several options to help you afford tuition for the Professional Certificate in Data Engineering Program.

Referrals – You and a colleague can each receive $780 off your tuition when you enroll together. Refer now Group enrollments – A discount of up to 20% is available for group enrollments. For more information, email group-enrollments@emeritus.org

US Residents

SALLIE MAE*

• Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more

*At the time of loan application, please select ‘Undergraduate students’ when prompted.

CLIMB CREDIT

• Immediate repayment, interest-only repayment, and deferred payment options are available. Click here to know more

Flexible Payment Options

• Monthly payments as low as US$1,340. Click here to know more.

You can opt for any one of the financing options to cover up to the full cost of the program tuition. If you are considering financing your program through one of our partners, the enrollment process can only be completed with the assistance of your program advisor.

Please note that loan applications should be submitted no later than four business days prior to the enrollment deadline due to processing time.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 640 4846 (US) /  +44 141 673 6416  (UK) / +65 3138 2327  (SG)