These jobs will grow 34% by 2026
Employers are in urgent need of statisticians. Growth in these jobs outpaces projected growth across all occupations. RIT’s advanced certificate in applied statistics is a credential driven by employer demand. In our curriculum you’ll find the expertise and skills most frequently posted by employers.
Acquire analytics skills to increase your marketability
Recent studies show the high-paying jobs of the future are “hybrid” jobs, requiring complex sets of skills from different—often opposite—fields. Professionals in almost every non-data-centric field are being asked to add data analysis and and statistics skills to make data-driven, analytical decisions in order to move into more strategic roles.
Hybrid roles are projected to grow twice as fast as jobs overall (21% vs 10% over the next decade). These high-complexity jobs are growing at twice the rate of the overall job market, they are 20 – 40% higher-paying than their more single-focus counterparts, and they are on the rise in every domain of business.
RIT’s advanced certificate in applied statistics is a flexible online graduate-level credential designed for students from varied professional and academic backgrounds. Professionals in fields like marketing, finance, insurance, engineering, technology, and more will get a solid education in statistical methods they can apply to their work.
With this credential, you’ll gain the skills you need to apply to your job immediately, and to increase your value and marketability in today’s data-rich environment. In this 12-credit program you will take two core courses and choose two electives to customize your study in a particular area of focus. Interested in learning more about this graduate-level credential? Request information.
A foundation for the MS in Applied Statistics
With your advanced certificate in applied statistics, the MS degree in applied statistics is within your reach. The 12 credits/four courses will count toward your master’s degree.
Learn more about the MS degree in applied statistics.
What you will learn
- A variety of existing and emerging skills to manage, analyze, and draw inferences from big data
- Modeling and experimental design techniques which will provide a foundation for for analysis of observational data and provide insight into the analysis of data from designed experiments
- How to combine proficiency in applied statistical methods with business communication and storytelling skills to successfully operationalize insights
- How to work with leaders, stakeholders, developers, and technology experts to create analytics reporting that can be easily interpreted and translated into actionable models for products, processes, and strategies
Credit hours, price & duration
The advanced certificate in applied statistics requires 12 credits and costs $1,129 per credit hour (Academic Year 2019-2020). You may complete the advanced certificate in applied statistics in 12 months year studying part-time. For your convenience, we offer three start dates throughout the year. Request information.
Related graduate-level degrees
RIT’s faculty and curriculum are at the leading edge of creativity, innovation, and design. You may be interested in these degree programs focused on data analytics which also emphasize application of emerging technologies, tools, and strategy to impact and influence industry.
STAT-641 | Applied Linear Models – Regression (3 Credits)
STAT-642 | Applied Linear Models – ANOVA (3 credits)
Electives (6 Credits)
STAT-621 | Statistical Quality Control (3 credits)
STAT-670 | Design of Experiments (3 credits)
STAT-672 | Survey Design and Analysis (3 credits)
STAT-745 | Predictive Analytics (3 credits)
STAT-747 | Principles of Statistical Data Mining (3 credits)
STAT-753 | Nonparametric Statistics and Bootstrapping (3 credits)
STAT-756 | Multivariate Analysis (3 credits)
STAT-762 | SAS Database Programming (3 credits)
STAT-773 | Time Series Analysis and Forecasting (3 credits)
STAT-775 | Design and Analysis of Clinical Trials (3 credits)
STAT-784 | Categorical Data Analysis (3 credits)
- Hold a baccalaureate degree (or equivalent) from an accredited university or college.
- Have satisfactory background in mathematics (one year of differential equations and integral calculus) and statistics (one course in probability and statistics).
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
- Submit a current resume and personal statement.
- Submit two letters of recommendation from academic or professional sources.
- A minimum cumulative GPA of 3.0 (or equivalent) is recommended but not required.
- GRE scores are not required.
- International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE.
- Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports and other transactions without a license or other US Government authorization.
It’s quick and easy to apply!
Start your application now. We encourage you to begin your application now! Simply create an admissions account, and then begin your online application, which will take about 15 minutes to complete. You may save your work and return at any time. Your application may be submitted with or without the application fee and any supporting documents you wish to supply.