University at Albany

Microcredential in

Data Science and Economics

Registration is completed with University at Albany.

University at Albany

Albany, NY 12222

Face to Face

Delivery

2 Semesters

Estimated time to complete

10 Credits

Credit-bearing

$1,350.00

Estimated cost*

What you'll learn

Learn to leverage data science and emerging technologies for advanced economic analysis with this Data Science and Economics microcredential. You will develop competencies in data collection and management, statistical and quantitative analysis, and predictive and analytical modeling. Gain proficiency in statistical inference and regression techniques applied to real-world economic and financial datasets. Gain proficiency in advanced regression, forecasting and causal inference methods for analyzing time-series and cross-section data. , research design, execution and communication and problem solving and critical thinkingYou will become proficient analytical and quantitative techniques including: statistical foundations, distributions and sampling theory, inference and hypothesis testing, foundations of causal inference, regression and predictive modeling and advanced econometric methods. You will have access to world-class faculty, supporting your knowledge and skill acquisition. Successful completion of this microcredential provides existing professionals with specialized skills needed to keep pace or advance. For current students, adding this microcredential to your degree serves to distinguish you in today's competitive job market. Note: Existing professionals and students not enrolled in the Economics BA or BS should contact the department chair about required pre-requisites.

A face to face microcredential from University at Albany (10 credits). Registration is completed with University at Albany.

Who can enroll

Ages 18 and up.

Upcoming sections

Section 1:

Full

Section 2:

Open

What you can earn

Data Science and Economics Microcredential (Digital Badge)

Skills covered

Data Collection

Data Management

Data Science for Economic Problems

Statistical Analysis

Quantitative Analysis

Predictive Modeling

Analytical Modeling

Research Design

Research Execution

Communication

Problem Solving

Critical Thinking

Ethical Standards.

Career outlook

Related occupations: Office Manager, Project Coordinator, Small Business Owner

Business and project skills apply in almost every industry.

* Estimated cost

Each campus will confirm final costs.