Brandeis University’s Graduate Professional Studies (GPS) is looking for an industry leader to teach in our online Strategic Analytics Master’s Program. Brandeis University is consistently ranked among the nation’s top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
About the position and the course:
RSAN 160: Predictive Analytics, a core course in the Strategic Analytics Master’s Program, focuses on the fundamentals of predictive analytics as it relates to improving business performance. Utilizing best practices and case studies, this course will illustrate how predictive analytics can facilitate educated decision-making to reduce costs, increase revenues, and provide competitive advantage across a variety of industries.
Course topics to be covered include:
key modeling techniques
multiple predictor variables
non-parametric regression and classification
principal components analysis and dimension reduction
Graduates of our MS Strategic Analytics program feel equipped to provide organizations with the knowledge they require for success, and offer organizations a bridge between data management and strategic decision making by studying the organizational value of data analysis. Program outcomes include the ability to design innovative, cross-functional data analytics solutions for applied business strategies as well as lead analytics teams and projects and assess their value and effectiveness.
All GPS Masters courses are 10-weeks long and taught asynchronously in the online learning environment with no set days or times for interaction.
About GPS Faculty:
GPS Faculty instructors are active practitioners in the industries that align with our programs and have the professional expertise to bring to course discussions and threads. Instructors are part time and work fully online, with no requirement to appear on campus. Our faculty have earned at least a master's degree with many holding terminal academic degrees and industry-specific credentials. Previous experience teaching online is not required; GPS offers a comprehensive training program for qualified applicants.
How to apply:
GPS welcomes applications for its adjunct faculty pool on an ongoing basis. The application process consists of the online application and, if subject matter qualifications are met, a series of interviews at the discretion of the Program Chair and Director of Program Development. Complete your application online.
Qualified candidates will have Subject Matter Qualifications in the following areas:
Current active employment in the business analytics or data science field or related industry
Minimum of 3-4 years of experience in the field of data science using various data tools for analysis, visualization, training and validation as applied to machine learning and predictive analytics
Broad knowledge of predictive data analysis tools and techniques required, and the challenges each is designed to address
A minimum of a Master’s degree
Teaching experience preferred; online teaching or learning experience preferred
General responsibilities include:
For new courses requiring development:
Design a syllabus following program chair guidance and the syllabus template
Create content that aligns with course outcomes and offers the author’s experiences and perspectives on key points
For all courses - develop and deliver the course according to our teaching standards, which include actively facilitating online discussions, providing relevant and timely feedback on student work, reporting grades, and discussing student issues with staff
Create or refine and facilitate the course site in the Moodle learning management system
General skill requirements include:
Strong interpersonal skills when relating to students
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
The ability to devote adequate time to courses, including responding to students and providing meaningful feedback in a timely manner
About Brandeis University
As a medium-sized private research university with global reach, we are dedicated to first-rate undergraduate education while making groundbreaking discoveries. Four major academic units with 3,600 undergraduates and 2,050 graduate students comprise the University: the College of Arts and Sciences, the Heller School for Social Policy and Management, the International Business School, and the Rabb School of Continuing Studies. In 1985, Brandeis was elected to membership in the prestigious Association of American Universities (AAU), which represents the 62 leading research universities in the United States and Canada. Brandeis has been ranked among the top 35 national universities by U.S. News & World Report every year since the rankings’ inception. Our 235-acre campus is located in the suburbs of Boston, a global hub for higher education and innovation. Our faculty are leaders in their fields, as passionate about teaching and mentorship as they are about pushing the boundaries of knowledge. Our students are motivated, compassionate, curious and open to exploring new and challenging experiences. Brandeis was founded in 1948 as a nonsectarian university under the sponsorship of th...e American Jewish community to embody its highest ethical and cultural values and to express its gratitude to the United States through the traditional Jewish commitment to education. By being a nonsectarian university that welcomes students, teachers and staff of every nationality, religion and orientation, Brandeis renews the American heritage of cultural diversity, equal access to opportunity and freedom of expression.