Catalog 2016-2017 - Online and On-ground 8-week Program Catalog 
    
    Apr 25, 2024  
Catalog 2016-2017 - Online and On-ground 8-week Program Catalog [ARCHIVED CATALOG]

Data Analytics: MS (Los Angeles, San Diego and San Francisco)


Return to {$returnto_text} Return to: Programs

The MS in Data Analytics program at the California School of Management and Leadership prepares students for rewarding careers by enhancing analytical skills, providing hands-on and applied skills, and giving extensive practical experience in applying these skills, particularly in managerial decision-making contexts. The MS Data Analytics degree is designed to offer flexibility to students who have prior work experience. The program follows a cohort model, with all students taking the core curriculum courses as a cohort at the beginning of the program. Applied and academic perspectives are combined in the design, development, and delivery of the coursework. Courses are delivered in a in evening classes, once a week to offer flexibility to the diverse student population.

Core concepts include the application of statistical modeling, data warehousing, data mining, programming, forecasting and operations research techniques to the analysis of problems of business organization and performance. Instruction in optimization theory and mathematical techniques, data mining, data warehousing, stochastic and dynamic modeling, operations analysis, and the design and testing of prototype systems and evaluation models is provided.

SOC Codes


11-1011, 11-1021, 11-3020, 11-9150, 11-9199, 15-2031, 25-1011

Program Outcomes


Objective 1: Demonstrate an understanding of techniques for maximizing the value of data in organizations

Objective 2: Apply critical thinking skills in the context of problem solving in the business workplace

Objective 3: Project a positive, pro-active and non-judgmental attitude towards diverse cultural and international identities in interpersonal and professional interactions

Objective 4: Demonstrate competence in communicating data solutions to organizational audiences

Objective 5: Apply knowledge and skills in data science in the context of the organization

Objective 6: Be able to make ethical and socially responsible decisions for data applications in business

Objective 7: Apply methods to collect, analyze, and critically evaluate data and information technology

Training Model


The MS Data Analytics program at Alliant’s California School of Management and Leadership provides advanced data analysis, management and analytical skills and extensive practical experience applying those skills, especially in business contexts. The program harnesses Alliant’s industry and corporate connections in regional as well as international areas and provides networking and professional development opportunities.

Specialized Admissions Requirements


The San Diego campus is the only campus currently accepting applications.

The MS in Data Analytics program is not yet Title IV approved; therefore, students enrolling in this program are not eligible for federal financial aid at this time, but may apply for private education loans through an outside lender.

Applicants must satisfy the requirements stipulated in the “Admissions and Registration” section of the University catalog, and must also meet the following criteria:

GPA: Applicants need to meet one of the following GPA requirements

  • Overall Bachelor’s GPA is 2.75 or above
  • Overall Bachelor’s GPA is between 2.60 and 2.75, plus ◦Minimum five (5) years professional work experience, or
  • Minimum GPA of 2.75 in the last 60 units of coursework (include graduate work) completed
  • An accredited master’s degree with overall GPA 3.0 or above

Resume: A current resume is required

Recommendations: Encouraged but not required

Personal essay (max. 2 pages): an autobiographical statement with future professional plans, the associated professional organizations and honors, activities and other accomplishments.

English Proficiency (International applicants)

  • CSML will admit students with IELTS score of 6.0 with no individual band score below 5.5 (or equivalent). Students can start their academic program immediately on entry into their program.
  • CSML will conditionally admit students with IELTS score 5.5-5.9 with no individual band score below 5.5 (or equivalent). Students will start in an English program and upon successful completion will start their academic program
  • Students with IELTS scores 5.0-5.4 will be admitted to a full ESL program. Upon successful completion of the ESL program, they will start their academic programs.

Upon receipt and review of all documentation, the candidate will be considered for final admission. Final admissions decision will be made by the Program Faculty.

Note that students may apply for admission in the final year of their undergraduate program if they are confident they will meet the admission requirements below upon completion of their Bachelor degree. A completed Bachelor’s degree, with appropriate GPA, is required to remain enrolled after admission. Final transcripts of the completed Bachelor degree need to be submitted before students will be allowed to register for classes.

Alliant reserves the right to require a student to take additional English instruction as demonstrated by his/her academic performance.

Curriculum and Degree Requirements


This MS program consists of 11 courses (33 units).

For undergrad majors not including a course in math, statistics, and basic programming, two additional pre-requisite courses of 3 units each are needed.

Curriculum Plan


Courses are 3 units unless otherwise indicated.

CSML Program Faculty


Ute Jamrozy, PhD, Associate Professor

Rachna Kumar, PhD, Dean, Professor and Systemwide Program Director

Cornelis Los, PhD, Professor

Rene Naert, PhD, Professor

Saba Ozyurt, PhD, Assistant Professor

Hamid Rahman, PhD, Professor

Leon White, PhD, Assistant Professor

For a detailed description of program faculty background and research interests, please see the alphabetical listing of faculty for the California School of Management and Leadership.

Return to {$returnto_text} Return to: Programs