As access to data continues to grow, companies are relying even more on data science and data analytics to make informed business decisions. Because of this, the field of data and analytics is one of the fastest-growing and highest-paid sectors in the 21st century. Data science jobs are in great demand and a degree in analytics and technology from 91勛圖厙 equips students with business intelligence skills to fill these challenging roles.
Program Overview
Students in the analytics and technology major may choose from two tracks: business analytics and data science.
The business analytics track gives a broad approach to analytics, incorporating project management, analytics for business decision making and market research. The data science track takes a deeper focus on the core science of data and statistics.
Learning Outcomes
- Answer business questions using a great amount of company data.
- Communicate technical results and recommendations to a non-technical audience.
- Use a number of modern computational tools to work with data analytics.
- Use advanced models to solve business problems.
- Use different kinds of data, such as social media, to enhance insights and recommendations.
Program Outcomes
The analytics and technology program has a very high placement rate for jobs and internships and is a great start to becoming a data scientist or data analyst. Graduates may choose to pursue a graduate degree in the business intelligence or data science field or find entry-level jobs.
Data Scientist
Business Intelligence Analyst
Data Engineer
Business Analyst
Marketing Analytics Manager
Financial Analyst
Insights and Analytics Consultant
Data Visualization Engineer
Course Map
Degree and class descriptions and requirements can be found by clicking on the course catalog listings below:
Popular Courses
Introduction to the fundamental ideas and techniques of computer programming. Introduction to topics such as variables, sequence, selection, repetition, and objects will be covered. Students will spend a significant amount of time out of class writing and debugging code in a programming language.
This course introduces students to the core concepts, processes, and tools of Business Intelligence. Lessons will introduce business process analysis (BPA) and cover the core business processes that business intelligence (BI) systems seek to address including finance and accounting, marketing, operations, and human resources. Further, this course explores the business use case of structure, unstructured and big data.
Students will be able to conduct and explain the basic concepts of data mining: supervised vs. unsupervised learning. Specifically, classification, k-means clustering and regression models will be emphasized. Students will learn the proper method and process of defining a data mining problem. Students will conduct analysis in terms of defining business programs and solving them with the appropriate methodology. Communication skills of models results to technical and non-technical audiences will be emphasized. Class will be conducted in R.
This course utilizes a series of prescriptive and predictive analytical tools such as forecasting, advanced regression, statistical process control, linear programming, network models and data mining to examine real-world business problems. Students will develop skills in defining a business problem, selecting the appropriate tool for solving the problem, and effectively communicating the results.
Degree Info
- Each student completes at least one data internship during the course of their program
- Myriad opportunities to network with potential employers and employees currently in data science jobs
- Through the extensive connectedness of Helzberg School of Management faculty, students have access to a broad array of internships each summer to build their data science skillset
- In various classes, students have opportunities to work with local, regional and national companies
- Students can take advantage of the Helzberg School of Management's 4+1 program to earn a bachelor's and master's degree in only 5 years
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