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Business Analytics Methods

Leeds School of Business
Overview

Prepare for a competitive career in the exciting field of big data by earning a graduate certificate in Business Analytics Methods online from the Leeds School of Business. Our four-course, fully online certificate program is designed to teach you how to interpret and utilize data to make business decisions that can make a positive impact in the world.

Completing this certificate will give you the skills to find a job or expand your career as an analyst in many positions, including business intelligence, marketing, accounting, human resource management, and more.

Turn a Professional Certificate into a Master’s Degree

If you’re interested in returning to school after some time, a graduate certificate is a great way to get started and immediately access knowledge that can be applied to your everyday life. A certificate also allows you to quickly demonstrate proficiencies to employers while adding value to your resume.

The Leeds School of Business provides the option to begin with a certificate en route to completing the master’s program, further progressing your knowledge of and marketability in the field. All you need to do is apply for your master’s degree before the end of your third class, and you’ll already be well on your way to developing an in-demand toolkit to enhance your career.


Tuition and Fees

Investing in your future is a big decision. However, becoming a fully online student at the University of Colorado is a high-quality and affordable option for learners of all types. Tuition and fees are based largely on the degree program you enroll in.

The tuition amount assessed is determined based on which University of Colorado campus, school, or college is offering your degree program, as well as if it is at the undergrad or graduate level, and finally your resident status. Visit our tuition and financial aid page for more information.

Financial aid and scholarships are available for those who qualify.

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Timeline

The graduate certificate in Business Analytics Methods is a four-course, 12 credit-hour program that allows you to specialize in the interpretation of business data.


Admissions

Admission requirements and deadlines vary based on the program. Learn more about the admissions process by filling out the form above or contacting an Enrollment Navigator today.

Admissions Requirements

  1. Online Application
  2. Statement of Purpose (1-2 pages)
  3. Transcript showing completion of an undergraduate degree
  4. Current resume
  5. One letter of recommendation

Required Courses

  • MSBC 5030 — Quantitative Methods
    • Covers foundations for statistical reasoning and statistical applications in business. Topics include graduate-level treatment of descriptive statistics, probability, probability distributions, sampling theory and sampling distributions, and statistical inference (estimation and hypothesis testing). Provides an introduction to regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods. Heavy use of R programming in course execution.

  • MSBX 5405 — Structured Data Modeling & Analysis
    • Explores both the functional and technical environment for the creation, storage, and use of the most prevalent source and type of data for business analysis, ERP and related structured data. Students will learn how to access and leverage information via SQL for analysis, aggregation to visualization, create dashboards, and be a source for business intelligence.

  • MSBX 5420 — Unstructured & Distributed Data Modeling & Analysis
    • Moves the student beyond structured data and sources into business scenarios where data is semi-structured to unstructured such as those from social and web applications. Specific topics include an introduction to SQL-on-Hadoop, NoSQL and related distributed processing technologies. Students will learn practical applications and mechanisms for getting this sort of data ready for analytics.

  • MSBX 5415 — Advanced Data Analytics
    • Explores the capabilities and challenges of data-driven business decision making and prepares students to lead in analytics-driven organizations. Introduces a set of common predictive and prescriptive analytics tools. Students apply analytics tools to important decisions based on practical data sets. from various companies. Analytics software packages are used extensively in the course.