Master's in Applied Statistics Programs

Beginning with insight into some of the most common programming languages used, such as Python, SAS, and R, students in this incredible degree program can grow into a career focused on making discoveries about data and developing models for extracting information for future use.

Featured Online Data Science Programs

Master of Science in Applied Data Science Program at Syracuse University Syracuse University
18-Month Data Science Master's Online. GRE waivers are available.
Master of Science in Data Science Program at University of Denver University of Denver
Earn University of Denver’s MS in Data Science online. No computer science experience required.
Master of Information and Data Science Program at University of California Berkeley University of California Berkeley
Designed for data science professionals seeking to organize, analyze, and solve real-world problems.

At the masters-level, students can also participate in learning about leadership within this field and the data analysis skills required to follow-up on work completed by employees and the training styles most beneficial for your line of work.

While you learn more about the different types of data and have the opportunity to practice your skills on actual data sets, you can potentially add to your future resume to large organizations in search of data experts in the field.

Our team of educational experts has pulled together information from several different Masters in Applied Statistics programs in order to educate you further on what is required during your learning experience. Take a look in the guide below to better prepare yourself for the road ahead.

Online Programs

Education in the online realm is unlike what can be found in traditional learning environments. If you are geared up for a Masters in Applied Statistics program in your future, you should consider the convenience and flexibility provided by online degree programs.

In recent years, the trend of online education has be brought on by profound interest in computer technology and the internet. Most online degree programs allow students to engage in learning from their very own home, with some programs even allowing students to log in at any time of the day or night.

Online Masters in Applied Statistics programs can include online discussion boards for students to communicate with other learners in their program, as well as interactive data practice programs in which you can exercise your skills in data analysis and applied statistics.

An added benefit to online degree programs is that they are subjected to the same quality standards as traditional learning options. Students considering online options for their program can verify the accreditation information of their program through a thorough review of the program's web page or through information provided about the university as a whole.

Choosing online degree programs can be a great decision for students that are working full-time at careers in the field, or even for busy adults that do not want to miss out on free time with their families. Check out more about the contents of Masters in Applied Statistics programs in the sections below.

What is Applied Statistics?

What you know about general statistics can contribute to how well you can understand the basis for applied statistics. This area of study involves utilizing statistics to interpret data from both parametric and nonparametric tests.

Students within this degree program may analyze data from ANOVA, descriptive statistics, or even chi squares as part of their quest to make determinations about the meaning of this information, as well as provide these results in a format that is easily understood by those being reported to. In data science, applied statistics can be a helpful process for extracting knowledge from a wealth of uncertainty – which can be valuable for a wide range of reasons.

Large sums of data involving numbers can present a wide range of uncertainty for data professionals tasked with interpreting it. Missing values, variability, and time-to-event analyses are just a small portion of the available methods for use by professionals within this professional field.

The skills learned throughout this degree program can promote your move into this complex and fascinating field within data science. The interpretation of value-based data can provide businesses and individuals with more information into the meaning of data, which can be beneficial when seeking better ways to operate a business, reach the public, and identify relevant trends within marketing and development.

Studies into applied statistics can provide you with a foundation to explore different types of career options in the field, providing you with a more diverse professional experience after graduation. Our team of experts has provided you with a short list of some of the common statistical tools used by applied statisticians in the field below. Read through these to gain a better understanding of what this profession can mean for you in the future.

  • Statistical Machine Learning: Professionals working in areas responsible for the development of new machine learning technologies can learn skills relevant to their future within this field. Tools that may be utilized within this specific area of practice may include Topic Modeling, Tree-Based and Rule-Based Regression, Gradient Boosting, and Support Vector Machines.
  • Exploratory Data Analysis: Exploratory Data Analysis (EDA) involves the investigation into data and its patterns in order to test hypotheses, identify patterns, and visualize anomalies within the data set. This type of process can help professionals learn as much as they can about a new set of data in order to make assumptions about its meaning and what it represents.
  • Statistical Learning: When using Statistical Learning as a method for success within this field, professionals seek to build a statistical model based on predictors and response. The model developed within this process should be able to accurately predict response variables based upon predictor variables. Statistical Learning is categorized into Supervised Statistical Learning – which is the development of a model based on one or more inputs, and Unsupervised Statistical Learning – which is a model that contains inputs but not supervising output.

Typical Prerequisites for a Master’s in Applied Statistics Degree

When you are considering a Masters in Applied Statistics, you should be aware of the prerequisite requirements that can be part of your admissions into this program. Different university programs may have varying expectations, making full research into your program of interest necessary prior to enrollment.

A large number of students considering a transition into this degree field may come from undergraduate degree programs in Statistics, Computer Science, or even advanced programs in Calculus or Mathematics. Each of these programs could provide you with quick access to the prerequisite course requirements set forth by the graduate program.

Some courses that you may be required to complete prior to being accepted into this program include courses in single-variable calculus, multi-variable calculus, linear algebra, statistics, and computer programming. If you did not have access to these courses during your undergraduate program, you may receive conditional enrollment while you complete these courses through your graduate school.

In addition to course-related prerequisites, some universities may also ask that applicants to their program also have some type of experience in a data-related field. In some cases, substituted experience in statistical careers or computer programming could be acceptable for admissions.

The courses that are required to be completed prior to the actual degree program can often provide you with more helpful knowledge about the subject area, which can provide you with a higher level of predicted success throughout your program.

Typical Master of Applied Statistics Courses

One of the most important steps to take prior to enrollment into a Masters in Applied Statistics programs is reviewing the curriculum. It is within this area that you can learn more about the actual consistency of the program and what to expect as a new learner.

The courses that you take during this program can be diverse depending on a few factors including which school you choose, whether or not you have chosen a specialization, and the type of prerequisite courses that you have completed as of your enrollment date.

Our team of educational experts has collected some example courses from actual online Masters in Applied Statistics programs currently open for enrollment. Read more in the list below to see more about each topic and what it can teach you during your experience.

  • Business Database Systems: This course can provide students with valuable information pertaining the purpose and value of business database systems. Some of the core topics that you might expect to learn during this class include data mining, data modeling, encryption, and database design. Common business database systems like electronic mobile devices, ERP systems, data warehouses, and point-of-sale systems may be explored throughout learning in this course in order to help students apply their knowledge of data to each of the defined areas.
  • Statistical Consulting: One challenging aspect of Applied Statistics involves the communication of learned information to the paying resources. This course can outline some of the communication-related skills that can be relevant to work in this area, as well as some of the most helpful methods for displaying information for clients to review. Simplification of information may be a point of discovering in this course as students learn more about graphical representation of data, general presentation speaking skills, and consultation with current and future clients.
  • Machine Learning: If you are involved in an Applied Statistics program for generalized learning or if you have a specific career path in mind, courses like Machine Learning can be beneficial for helping you gain all-inclusive skills for work in the field. Students participating in this course can learn specific elements like K-means clustering, evaluation of model performance, neural networks, and dimension reduction. Each of these skills can be applied directly to general AS careers or machine learning careers.

Considering Tuition and Applied Statistics Scholarships

Graduate-level education can often come at a hefty price for new student on a search for better career opportunities. There are different methods for lowering the costs of your program and acquiring funds to help you cover the costs of your Masters in Applied Statistics degree.

Lowering your costs can first be achieved by choosing to pursue your degree online. This method allows you to completely eliminate the need for travel, housing, and food-related costs of living on campus, which can add up significantly when dedicating around 2 years of your time to an on-campus program.

Locating scholarships can also be beneficial in lowering your overall costs of higher education. Some of the most helpful ways to identify scholarship opportunities for new students is to explore what is offered by the school they are enrolling in, what is available within the community, and what is offered online.

Ellis R. Ott Scholarship for Applied Statistics and Quality Management

A simple internet search for scholarships within this degree field revealed many different scholarship opportunities for statistical learners. One opportunity, offered by The American Society for Quality, provides the Ellis R. Ott Scholarship for Applied Statistics and Quality Management.

Opportunities like this one may require that you provide proof of your excellence in undergraduate degree programs, as well as a professional letter regarding your intent as an applied statistician.

University-specific scholarships may be available to students that are working specifically on the Masters in Applied Statistics program, which can also include requirements including a minimum 3.0 GPA, an Applied Statistics degree specialization, and community or campus engagement.

Careers in Applied Statistics for Master’s Degree Graduates

In a world that is so reliant on computer technology and online business, a Masters in Applied Statistics can lead you into a wide variety of fascinating fields once you have completed it. In this section, our team will provide you with some more information about where you can work after graduation from this area.

Through a search of available job opportunities for Applied Statistics graduates, it was found that there is a wealth of organizations that are looking for educated professionals within this field to fill their staff. Organizations that are interested in gaining information from public social sites like Facebook are currently hiring analysts to draw information from this website, as well as from other online resources utilized by these organizations.

Healthcare organizations can also benefit from the expertise of statistics professionals with this degree. One organization currently seeking new applicants for an open position require a graduate that can help to organize, gather, and assess data provided from their scheduling software.

The general roles that you take once moving into the professional field can vary depending on the organization that you apply with. Many students may move on to be statistical analysts responsible for drawing information from different data resources, applied statisticians that can oversee data choices and data analysis, and even statistical managers that organize and supervised data projects for their organization.