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.
Pre-requisite Courses
For Students with Undergraduate Majors not including a basic course in math, a course in statistics and a course in programming. Pre-requisite courses should be completed during Session 1 and 2 of Year One.
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.