Autumn Becker, Program Director
Technology 221
301-784-5434
https://www.allegany.edu/data-analytics/

This curriculum provides training that enables students to seek employment in areas related to data analytics such as a market research analyst, financial analyst, statistical assistant and many more.

Data analytics and visualization skills are in high demand in today's global market. This degree will help a student build the necessary skills to become a data analyst.

Students will learn and practice a broad set of skills in data analytics, graphics, and visualization. In addition, students in this program will be able to create data models and data warehouses, develop and use various digital graphics techniques and data visualization methods and use various statistical and predictive/applied applications and methods.

Student must achieve a "C" or better in any data analytics course before being advanced to any subsequent data analytics course in the curriculum progression. In order to graduate from this curriculum, the students must meet all college academic requirements plus achieve a grade of "C" or better in each data analytics course.

This is a career program, designed to enable students to seek employment at the program's completion. If you plan to transfer to a four-year college/university, please check with your advisor and Advising Center Staff as soon as possible.

Successful completion of this program qualifies a student to apply for an Associate of Applied Science degree in Data Analytics.

 

DATA ANALYTICS
TWO-YEAR CAREER PROGRAM
PREPARATION FOR EMPLOYEMENT

 

FIRST SEMESTER	Credit Hours
Computer Technology 101 (Computer Literacy)	3
Business Administration 101 (Introduction to Business)	3
English 101 (English Composition I)	3
Mathematics 109 (Probability and Statistics)	3
Data Analytics 101 (Introduction to Data Analytics)	3
Total:	15
SECOND SEMESTER
Mathematics 102 (College Algebra)	3
Science Elective	3
Data Analytics 103 (Introduction to Machine Learning)	3
Data Analytics 105 (Introduction to Data Visualization)	3
Computer Technology 241 (Python Programming I)1	3
Total:	15
THIRD SEMESTER
Business Administration 216 (Principles of Marketing)	3
Social and Behavioral Science Elective	3
Data Analytics 201 (Advanced Data Analytics)	3
Data Analytics 206 (Python for Data Analytics)	3
Speech 101 (Speech Communication)	3
Total:	15
FOURTH SEMESTER
Philosophy 202 (Ethics)	3
Economics 202 (Principles of Microeconomics)	3
Data Analytics 210 (Data Warehouse Implementation)	3
Data Analytics 214 (Advanced Data Visualization)	3
Data Analytics 216 (Data Analysis in the Cloud)	3
Total:	15
Total Credit Hours:	60