
Data Analytics Career Path
Being a “Data” Analyst is a well-paying and important job in the current data age. A data analyst will retrieve and gather data, organize it and use it to reach meaningful conclusions. It is believed that individuals with a math degree are needed the most for careers in data analytics. This includes but not limited to a long list of related job titles as follows.
Accounting Analyst
Budget Analyst
Business Analyst
Credit Analyst
Cost Analyst
Crypt-analyst
Financial Analyst
Forensic Analyst
Inventory Analyst
Market Research Analyst
Operations Research Analyst
Rate Analyst
Project Analyst
Program Analyst
Quality Assurance Analyst
Risk Management Analyst
Securities Analyst
Requirements to Become a Data Analyst
A bachelor’s degree in mathematics or related fields is needed for most entry-level jobs, and a master’s degree in statistics or related fields will be needed for many upper-level jobs. At UMKC Math and Stat Department we have created a career path for those who are interested to become a data analyst. Below is a list of recommended courses that provide the necessary skills for careers in Data Analytics.
- STAT 235 Elementary Statistics (3 credit hours)
- STAT 240 Introduction to Data Visualization (NEW COURSE, 1 credit hour)
- STAT 245 Introduction to Diagnostic Analytics (NEW COURSE, 1 credit hour)
- STAT 260 Introduction to Predictive Analytics (NEW COURSE, 1 credit hour)
- COMP-SCI 101 Problem Solving and Programming I (3 credit hours)
- COMP-SCI 101L Problem Solving & Programming I Lab (1 credit hour)
- COMP-SCI 191 Discrete Structures I (3 credit hours)
- Math 314 Graph Theory with Applications (NEW COURSE, 3 credit hours)
- GEOG 444 Spatial Data Analysis (3 credit hours)
- DSOM 311 Business Analytics II (3 credit hours)
Additional courses to consider:
- MKT 390 Customer Data Analytics (3 credit hours)
- ECON 425 Intermediate Economic Statistics (3 credit hours)
- STAT 496 Internship/Practical Training in Mathematics or Statistics (1-3 credit hours)
- STAT 436 Introduction to Mathematical Statistics I (3 credit hours)
- STAT 441 Introduction to Mathematical Statistics II (3 credit hours)
- COMP-SCI 394R Applied Probability (3 credit hours)
For more information please contact Dr. Bani-Yaghoub (baniyaghoubm@umkc.edu).