The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Pennâ™s distinctive interdisciplinary approach to scholarship and learning.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Coordinator, Data Science Masters Program, School of Engineering and Applied Science
Job Profile Title
Job Description Summary
Penn Engineeringâ™s world-acclaimed faculty, state-of-the-art research laboratories and highly interdisciplinary curricula offer an experience that is unparalleled. Innovation and technology drive every program and transform the fundamentals of what future engineers are learning. http://www.seas.upenn.edu/
The Coordinator of the Data Science Masterâ™s Program (DATS) in Computer and Information Science (CIS) in the School of Engineering and Applied Science (SEAS), will evaluate student applications to the SEAS Data Science Master's program and determine eligibility for admission for each applicant. Manage day-to-day aspects of the program as well as of the Scientific Computing Masterâ™s Program (SCMP) by advising students on course selection, tracking academic progress, and keeping inventory of practicum projects across campus. Manage visibility for the programs by creating content for and maintaining web pages, helping drive data science activities on campus, and posting to social media outlets (e.g. Facebook or Twitter). Maintain statistics on programs; track applications, admits, accepts, and enrollment for each program.
The Coordinator of the Data Science Masterâ™s Program will evaluate student applications to the SEAS Data Science Master's program and determine eligibility for admission for each applicant by maintaining knowledge of international academic standards and variations between academic grading and standards among schools in the US and internationally. Give initial rankings of applicants based on TOEFL and GRE scores, school, GPA, and other factors. Make recommendations to accept or reject applicants and identify the subset of applications that will require faculty decision-making. Communicate with applicants, respond to questions, maintain a FAQ sheet, etc. Coordinate with the school to develop and implement systems for application review. Manage day-to-day aspects of the Data Science Master's program and the Scientific Computing Masterâ™s Program (SCMP) by advising students on course selection, tracking academic progress, and keeping inventory of practicum projects across campus. Assist the faculty co-directors of DATS and SCMP with program content by maintaining an inventory of courses relevant to Data Science across the university, and what course substitutions are allowed.
Manage visibility for the programs by creating content for and maintaining web pages, helping drive data science activities on campus, and posting to social media outlets (e.g. Facebook or Twitter). Create and manage a landing page for DATS and SCMP programs comparing the programs. Assist faculty director in scheduling and archiving information sessions, Webinars, etc. as well as setting up curriculum committee meetings and other program development activities.
Maintain statistics on programs; track applications, admits, accepts and enrollment for each program. Establish a LinkedIn presence for DATS, recruit students to it, and track jobs upon graduation. Develop and grow ties to companies with projects and employment opportunities in Data Science.
A Bachelor's degree and 3 years to 5 years of experience or an equivalent combination of education and experience. A high level of initiative, independent judgment and organizational savvy. Must be proficient in Microsoft Office, including Word, PowerPoint, Outlook and Excel.Â Experience in maintaining a social media presence and in collecting data on academic programs is preferred.
Working Conditions Office, library, computer room
Physical Effort Typically sitting at a desk or table
Job Location - City, State
Department / School
School of Engineering and Applied Science
$42,953.00 - $77,315.00
Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
Internal Number: JR00012926
About University of Pennsylvania
Penn has a long and proud tradition of intellectual rigor and pursuit of innovative knowledge, begun by Benjamin Franklin in 1740. That tradition lives today through the creativity, entrepreneurship, and engagement of our faculty, students, and staff. Academic life at Penn is unparalleled, with an undergraduate student body of 10,000 from every U.S. state and around the world. The entering class of 2015 is the most talented and diverse in Penn's history. Consistently ranked among the top 10 universities in the country, Penn welcomes an additional 10,000 students to our top-ranked graduate and professional schools.