Analytics

About

Beginning in the 2020-2021 academic year, the MS in Analytics program will no longer be accepting new students. Current MS in Analytics students will continue to have access to the same high-quality education and resources until they graduate.

The curriculum for the one-year interdisciplinary, full-time M.S. in Analytics program begins in May on the Durham, NH campus. The 36-credit program is comprised of ten core analytics and data science courses and two cluster electives.

Electives can be taken in many areas of applied focus such as, but not limited to, health care, business, environmental sciences, sports management, and others.

The program rests primarily on the coding languages of R and Python, but also SAS and SQL. Students receive training in a multitude of quantitative tools and algorithms such as machine learning and deep learning. They also get exposed to computational and analytic environments such as enterprise systems to streaming and distributed cloud systems. A sample of the module-based curriculum map, that stays relevant to changing technology may be seen here.

The practicum courses are designed to instruct on two primary areas of content. One is to apply the core tools to a real-world project. The second is to provide useful exposure to the processes and professional development of the student in the role of analytics professional. Students will have the opportunity to learn methodologies such as LEAN and Agile project management. Students will also be exposed to conceptual mapping for data practitioners such as design thinking. They will do this both within projects should they or the host choose, or as added learning. View Practicum projects here.

Flow of the MS in Analytics Program

The Master of Science in Analytics begins each May. Each of the three semesters build in level of mastery.

Summer (Beginner Analytics)

The initial semester, brings together both the Graduate Certificate in Analytics (GCA) students and the M.S. students, to learn side by side. In the summer, students learn the basics of statistical and mathematical thinking, programming in three languages, and the foundations of data cleaning, visualization, and presentation. Each day, students will begin with instruction and spend the remainder of the day working on homework and project assignments, culminating in a team project around a social justice issue. In addition, a number of "soft" skills are introduced such as LEAN project management and Agile training. And finally, students are exposed to a host of industry partners and perspectives on the rapidly changing world of analytics and data science through our guest speaker series.

Fall and Spring (Intermediate and Advanced Analytics and Data Science)

These semesters mirror one another, yet build in tools and applications. Students spend their mornings in class and in the afternoon collaborating in groups on projects, professional development and networking with industry partners/sponsors. Building on the knowledge gained in summer, they work toward the completion of the capstone practicum in spring. The Fall semester is spent on project scoping, background, data transfer, and understanding policies and procedures in place via the host or by the type of data being used. In Spring students are engaged in data mining, modelling and storytelling with outcomes for ultimate presentation back to the host site.

Students will also receive opportunities to further develop professional skills and certifications around LEAN should they choose.

Cluster Areas of Focus

The Cluster Course electives consists of two required courses, taken in the fall and spring semesters. The final curriculum objective is to allow for specialization in a targeted area of student interest to provide students with a deeper knowledge in the subject area of their choice. Current cluster options include health, accounting, decision science, finance, marketing, economics, sports, human & technology interface, or self-designed focus.

Key Program Highlights

Consists of 12 courses, 36 credit hours, 2 specialization electives
1-year STEM masters or a 3-month certificate option
Gain expertise in advanced machine learning, text analytics, programming, visual analytics, and big data framework.
Curriculum stays relevant to the ever changing technology with an ability for the students to choose their specialization (i.e. Health/Business/Sports)
Students from diverse backgrounds – not just technical fields
Work hands-on, team-based learning

Requirements

Entry Requirements

Transcript evaluation by a third party is not required as long as an application is in English. Translation services and evaluation services may be requested at the discretion of the academic department.
Transcripts from all previous post-secondary institutions must be submitted and applicants must disclose any previous academic or disciplinary sanctions that resulted in their temporary or permanent separation from a previous post-secondary institution. If it is found that previous academic or disciplinary separations were not disclosed, applicants may face denial and admitted students may face dismissal from their academic program.
International applicants may submit copies of official transcripts by emailing [email protected]. We will upload those transcripts to your application checklist.
Official transcripts will be required if admitted. These can be hand-delivered in a sealed envelope upon arrival, emailed to [email protected], or mailed hardcopy to UNH Graduate School, Thompson Hall, 105 Main Street, Durham, NH 03824.

English Requirements

PTEMin 59
IELTSMin 6.5
TOEFLMin 80

Fee Information

Application Fee 65

How to Apply

STEP 1: APPLY ONLINE

Program-specific application requirements
- To understand the cost of attendance view the Tuition & Financial Aid information.
Complete the Application Form: Once your application is submitted it cannot be changed in the application platform. Contact the Graduate School to make any updates.
Review Forms and Policies page: Important documents you may need are available on this webpage.
Click button below for Application Instructions:

STEP 2: SUBMIT DOCUMENTS

Submit Documents: Copies of official transcripts from all previous post-secondary institutions should be uploaded through the application form. If your program requires the GRE/GMAT (check here), please have scores sent to the UNH Graduate School by the testing service.
Transcripts: Transcripts are required for all post-secondary institutions that you attended. If admitted to the program, you will need to request that transcripts be sent to ([email protected]) via email or hardcopy to UNH Graduate School, Thompson Hall, 105 Main Street, Durham, NH 03824.
International Students: Official English language score reports (such as TOEFL) must be sent to the UNH Graduate School by the testing service. Internationals who graduated as an undergrad from UNH will have the TOEFL waived.

STEP 3: MONITOR YOUR APPLICATION

Monitor Your Status: After you’ve submitted your application, you can monitor when we’ve received your transcripts, recommendation letters, test scores, etc., by logging into your application portal.
View your Decision and Respond to Offer of Admission: Once a decision has been made on your application you will be able to view it by logging into your application portal. Your decision letter will be available for print or download once it is viewed. Follow the instructions below:
- Visit the Application Portal
- Click the blue button, that says "View Your Decision"
- If admitted you will see a green button in the lower right-hand corner titled "Reply To Offer" through which you will be able to accept or decline your offer.