Students entering the Neuroscience Program at Brandeis have the opportunity to work in a variety of fields, ranging from the structure and function of ion channels to systems and cognitive neuroscience. Brandeis University has an outstanding and highly interactive research community housed within the Volen Center and adjoining buildings. This close proximity facilitates the high degree of collaboration and exchange for which Brandeis has become famous. The Neuroscience Program currently has over 20 faculty members from five participating departments (Biology, Biochemistry, Psychology, Chemistry, and Computer Science).

Brandeis University's Master of Science (MS) in Genetic Counseling is a two-year course of study integrating coursework with clinical experience in an environment that encourages close student/faculty interaction. Ordinarily, the program is completed in two academic years and the intervening summer. The program places a strong emphasis on human molecular genetics while providing in-depth course work in counseling theory and technique as well as extensive clinical training. Fieldwork and clinical internships are an integral part of the program. To read more, visit the program website. Application information can be found below. Brandeis notifies applicants the same day as other schools accredited by the American Board of Genetic Counselors (ABGC).

In the next few years, more than 2 million new data analytics jobs will be created, boosting related employment opportunities by a staggering 45 percent. The Bentley MS in Audit Analytics (MSAA) provides the skills and experience you need to get ahead of the competition in this fast-growing, competitive Big Data job market. The high demand for accounting graduates with strong data and analytics skills is the reason why Bentley created a degree for students interested in audit firm practices such as risk management and process assurance. Students will gain skills in accounting practices and advanced expertise in accounting and auditing, using industry tools to explore data mining and predictive analytics.