Curriculum - Bachelor of Science in Analytics and Technology

The modern world is made of data. It has become a part of everything we do – from shopping to health care, economics to social media, and everything in between. The ability to extract it, process it, understand it, visualize it, communicate it, and make value added decisions from it will be a critical skill over the next several decades as employment in this field is projected to grow by more than 30 percent.

Organizations have massive amounts of data, but are challenged to develop strategies on how to use it and find talent to harness its value. That’s why entry-level jobs as an analyst, analytics consultant, and junior data scientist are in great demand. Career trajectories for senior data scientists and senior managers in all fields with these skills will continue to rise with median salaries of more than $78,000 a year.

If you’re interested in technology, math, statistics, business, communications, engineering, and more, the Rockhurst University Bachelor of Science in Analytics and Technology is for you. Our strong interdisciplinary approach to developing the skills and hands on experience will prepare you for quickly expanding, high paying positions that require this 21st century skillset.

Within the major, you have the choice of two tracks:

  • Business Analytics Track: A broader approach incorporating project management, analytics for business decision making, and market research
  • Data Science and Analytics Track: Focused on the core science of data and statistics

Both tracks integrate a hands-on, experiential learning requirement, and are backed by Rockhurst’s distinctive core curriculum.

BSAT Curriculum

Prerequisites

BIA 1800 Data Analysis
BIA 2000 Foundations of Business Intelligence
CS 1000 Programming for Analytics
MT 1800 Calculus I
PY 2100 Statistics for the Social Sciences

Analytics Core

BIA 3000 Data Visualization
BIA 3100 Fundamentals of Data Mining
EN 3180 Business Writing
CS 3000 Data Structures
CS 3100 Database Programming and Design

Track Courses

Business Analytics Track

BIA 3200 Project Management
BIA 3201 Prescriptive Analytics for Business Decision making
MK 4100 Marketing Research

Data Science and Analytics Track

MT 1810 Calculus II
MT 3400 Probability and Statistics
MT 3410 Statistical Learning