Adjunct, MS in Business Analytics Program

Dominican is located in Marin County, whose affluent and progressive reputation is juxtaposed with a reality of extreme economic and racial disparity. While the campus is situated in a privileged neighborhood, our institution has deep ties in surrounding neighborhoods where resources and representation for minoritized people are exceedingly disproportionate. Dominican is committed to improving our internal policies and practices related to equity and inclusion; it is also demonstrably engaged in collaborating with local, long-term community partners to improve equity and inclusion in Marin.

Our student body is remarkably diverse and we strive to see that diversity reflected in our faculty and staff. We seek candidates from all backgrounds who, through their research, teaching, work ethic, and service, will meaningfully contribute to a diverse, equitable, and inclusive campus and county.

Resume/CV and cover letter are required and must be attached in attachment section of the application process (Step 2). Refer to the posting instructions for any additional materials that may be required.

Refer to the Dominican Employment Page here for adjunct opportunities and application instructions.

Title: Adjunct Faculty

Department: MS in Business Analytics Program

Division: Barowsky School of Business

Reports to: Associate Dean, Barowsky School of Business

Status: Part Time, 4 months, to commence 2021

Position Summary

The Barowsky School of Business is seeking part-time instructors to teach courses in the MS in Business Analytics program during terms three (January-February) and four (March-April) in 2021. Each course is seven to eight weeks with remote instruction on Mondays or Wednesdays and in-person, on-campus instruction every other Saturday.

Responsibilities

• Teach a three-unit course at graduate level
• Evaluate and grade student work and provide feedback to students
• Mentor and advise students on the progress of their projects and coursework
• Uphold academic performance standards and integrity

Course Descriptions

• MSBA 5505 Machine Learning for Business (Term 3)
  Machine learning is the process of developing, testing, and applying predictive algorithms to predict future outcomes. This course will teach students how to use machine learning to achieve business goals. Students will be trained to formulate ML solutions to real-world problems, carry a project through various ML phases such as training, evaluation, and deployment, and perform AI responsibly to avoid reinforcing existing bias. They will measure, monitor and predict the evolution of key enterprise variables and performance indicators and present them in the form of usable information for business decision-making. Topics include supervised and unsupervised learning, data mining, text mining and big data strategies.
• MSBA 5506 Cloud Computing (Term 4)
  In this course, students will learn how cloud computing works as an IT delivery service to enhance business efficiency and agility. Students will learn about cloud computing concepts, cloud applications, and cloud networking. Topics include cloud architectures such as Amazon Web Services, cloud programming, cloud transport using Docker Containers, mobile cloud applications for Internet of Things (IoT), social network analysis using cloud services, cloud performance, and cloud security.
• MSBA 5511 Finance Analytics (Term 4)
  This course teaches students how to build successful financial models using analytics. It employs financial econometrics and predictive modeling using computer software to provide insights into internal and external financial information. Topics include cross-sectional risk and return models such as the Capital Asset Pricing Model (CAPM), price-earnings relationship, portfolio optimization, and market performance forecasting.

Required Qualifications

• Master's degree in a quantitative field related to the discipline mentioned in the above course descriptions, plus significant business or professional experience in a related field.
• Previous experience teaching the course subject or related subjects is preferred.

Preferred Qualifications

• PhD. in a quantitative field related to the discipline mentioned in the above course descriptions.

Additional Position Information

• Applications will be accepted until the position is filled.
• Must be willing to consent to a background check

Dominican University of California is an independent, international, learner-centered university, offering both undergraduate and graduate programs. The University is located 12 miles north of San Francisco nestled in the foothills Marin County. Dominican has a 1:10 teacher-to-student ratio, an average class size of 16 with a small-town feeling in a park-like campus. We blend interdisciplinary core courses, real-world studies, and small classes with close and supportive academic advising and mentoring.

Application Procedures

• Link to apply: https://dominican.wd1.myworkdayjobs.com/careers
• A cover letter is required with your resume
• Compile resume/CV and cover letter in one pdf document and upload in the Resume/CV section
• For further questions on the application process, please contact jobs@dominican.edu

For More Information Contact:

Vafa Saboorideilami, Director of MS in Business Analytics Program and Associate Professor of Operations Management, Barowsky School of Business

Dominican University of California

50 Acacia Ave, San Rafael, CA 94901

Email: vafa.saboorideilami@dominican.edu

Dominican University of California is an Equal Opportunity Employer committed to excellence through diversity, and takes pride in its multicultural environment. We are committed in thought, word, and deed to recruiting and retaining a workforce that values the diversity of its student body. The University actively promotes an institutional culture that practices equity and inclusion. We strongly encourage applications from members of all under-represented groups in higher education.



Application Procedures

Link to apply: https://dominican.wd1.myworkdayjobs.com/careers

A cover letter is required.

Compile resume/CV and cover letter in one pdf document and upload in the Resume/CV section.

For further questions on the application process, please contact jobs@dominican.edu

Dominican University of California is an Equal Opportunity Employer committed to excellence through diversity, and takes pride in its multicultural environment. We are committed in thought, word, and deed to recruiting and retaining a workforce that values the diversity of its student body. The University actively promotes an institutional culture that practices equity and inclusion. We strongly encourage applications from members of all under-represented groups in higher education.





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