2022-2023 Catalog 
    
    Nov 27, 2022  
2022-2023 Catalog

Master of Science in Data Analytics


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School: California School of Management and Leadership

Modality(ies): On-ground, hybrid, online

Calendar(s): 8-week term

CIP Code: 52.1301

Program Description/Overview


The Master of Science of Data Analytics (MSDA) degree enables students to learn the techniques and skills needed to work with diverse data sets, a range of analytics platforms and reporting tools, to ultimately tell an actionable data driven story, tell that story right, and tell it right now. 

Students are given the opportunity to roll up their sleeves in structured classroom environments to work directly with top enterprise solutions such as Google Analytics 360 Suite, Adobe Analytics Suite, Python, R, SQL, Hadoop, Moz, Hitwise, IBM CoreMetrics, Gephi, Power BI, Power Pivot, and so much more. Coupled to a dynamic range of statistical data modeling methods and functions, students learn the critical skills required to work with stakeholders and descriptive, predictive, prescriptive, diagnostic and logistical performance outcomes. 

In the emerging fields of Big Data, Data Science, Analytics, and Reporting, analysts are in demand across all vertical industries. The MSDA program puts these roles within the grasp of graduates, including Analytics Associates, Enterprise Analysts, CRM and Customer Journey Analysts, market analysts, data scientists, Optimization Analysts, Supply Chain Analysts, and more.

The California School of Management Leadership (CSML) graduate programs at Alliant International University require practical training from the first term until graduation.

Students in the ground program are required to participate in curricular practical training as part of their experiential learning throughout the program. Practical training is intended to develop professional and applied practice related skills and expertise in the student’s program through a variety of work and learning experiences which could involve supervised practical training and/or applied client projects. This is intended for students to gain in-depth, supervised practical learning experiences. This is required throughout the academic program from start on Day 1 to program completion.

Domestic students can contact the CSML Professional Development (CPD) Coordinator directly for guidance. International students must apply for authorization for Curricular Practical Training to the Designated School Official (DSO) and schedule an appointment at least two weeks prior to the beginning of the Curricular Practical Training. Please email ISSO@alliant.edu to schedule an appointment. Note that an international students may begin curricular practical training ONLY after receiving their Form I-20 with the DSO endorsement. To be considered Curricular Practical Training, the work must be related to your major field of study. Please view CSML CPT Application Process for International Students  for application information.

Emphasis/Concentration/Tracks


Healthcare Analytics

This concentration targets the expertise required in current healthcare analytics environments and provides a clear understanding of practical healthcare analytics decision-making. Students will be enabled to learn techniques and skills needed to work with diverse data sets, a range of analytics platforms and reporting tools to improve health care through the use of innovative and essential techniques that enable the delivery of efficient and quality healthcare analytics. Students will learn to select, prepare, analyze, interpret, evaluate, and present health data related to health system performance and effectiveness.

Informatics

Within the informatics concentration, students will focus on enterprise level information management tactics, techniques, and modeling methods for extracting, transforming, and loading data into essential reports and visualizations utilized for evaluation, synthesis and interpretation of business operations results. Students will learn to establish optimal data-driven recommendations and prescriptions from historic, current, and future data that align with stakeholder departmental end-state objectives, conversions, and goals.

Fast Track to Doctoral Program

Students who are in good academic standing (3.0 GPA) are eligible to participate in the Fast Track program to the Doctor of Business Administration (DBA) program and can apply for approval. Students in the eligible set who are interested in the Fast Track option will be reviewed by the Program Director (PD. Student candidates will submit an essay (1 to 2 pages in length) supporting their interest in the doctoral program. A designated CSML faculty assessment team will approve based on a rubric related to interest and ability.

In the Fast Track program, MSDA students can take up to three (9 units) of doctoral level bridge courses from the DBA program. If students complete the bridge courses with a B or above grade, they can transfer these courses into the doctoral programs if they enroll in them at Alliant International University upon completing their MSDA program.

The following Fast Tracks are available for this program:

  1. Doctor of Business Administration (DBA) with Information and Data Science specialization

Program Learning Outcomes/Goals


  1. Demonstrate an understanding of techniques for maximizing the value of data in organizations
  2. Apply critical thinking skills in the context of problem solving in the business workplace
  3. Project a positive, proactive and non-judgmental attitude towards diverse cultural and international identities in interpersonal and professional interactions
  4. Demonstrate competence in communicating data solutions to organizational audiences
  5. Apply knowledge and skills in data science in the context of the organization
  6. Be able to make ethical and socially responsible decisions for data applications in business
  7. Leverage teams in the applications of data analytics and information technology

Internship, Practicum, and/or Dissertation Information


Practical Training

Alliant is approved to offer practical training throughout the MSDA curriculum to domestic as well as international students. Practical training is defined as an approved work experience which is an integral part of an established curriculum and is directly related to the student’s major area of study. This schedule is repeated throughout the entire program. Practical training can be part time (less than 20 hours a week) or full time (more than 20 hours a week), paid or unpaid. International students should see guidelines from International Office regarding details of FT and PT practical training (see Curricular Practical Training section). 

A student will have eight weeks (one term) to secure a practical training site once they start the MSDA Practical Training Track. If a student loses a practical training site during the program, they will have eight weeks (one term) to secure another site which aligns with the program requirements. If unable to do so, the program will assist in getting practical training opportunities in the course with a client engaged project or a rea life project.

Approval of practical training sites: Program Director or Faculty Internship/Project Coordinator will have final approval, which is required each term. Detailed procedures for approval of a practical training site and the training details will be provided by the program. International students will meet the International Office and the PDSO for guidance and approval.

Class schedule: For each course, students attend ground classes on weekdays per the published schedule for the courses. Each course duration is 8-weeks.

Internship

Students are required to participate in the internship series as part of their experiential learning within the program. The internship is designed to develop professional practice related skills in student’s program expertise through a variety of work experiences which could involve independently conducted professional projects or an internship. This is designed to provide students with in-depth, supervised practical learning experiences.

This is required throughout the academic program from start on Day 1 to completion. International students should contact the International Students Office for details and specialized requirements. 

In addition to classroom instruction, all students in the ground program are required to get real-world practical training experience in an approved organizational setting for a minimum of 45 hours in every academic term throughout the program. If a student is unable to secure a practical training site, an applied project may be made available to ensure students in the ground program meet the practicum requirements. International students should check with the International Students Office for more details.

Credit Units


Total Credit Units: 33

Total Core Credit Units: 24

Total Elective Credit Units: N/A

Total Concentration Credit Units: 9

Degree Requirements


In addition to classroom instruction, all students in the on-ground program are required to get practical training experience in an approved setting for a minimum of 45 hours in every academic term throughout the program.

Prerequisite Courses


Applicants can submit a request for waiver to the program academic advisor. For consideration to waive the pre-requisite courses, students must satisfy one of the following requirements:

  • Bachelor’s degrees: Students with undergraduate majors including a course in math or a course in statistics and a course in programming are eligible to apply for waivers of the program pre-requisites courses.
    • A 3-unit equivalent course completed at the bachelor’s level within the last 3 years in math or in statistics with a grade of B+ or better will waive the DAT50050  pre-requisite course. A 3-unit equivalent course completed at the bachelor’s level in programming (e.g., C++, .NET/C#, JAVA, R, or Python) within the last 3 years with a grade of B+ or better will waive the DAT50000  pre-requisite course.
    • In cases where the course(s) described above were completed more than 3 years ago, students can still apply for a waiver with the course syllabus from the year when they completed the course, and the program will assess the course contents to make a waiver decision.
  • Master’s degrees: Students with a masters including a course in math or statistics in the previous 3 years completed with a grade of B or better can waive the pre-requisite course DAT50050 , and a course in programming, in the previous 3 years completed with a grade of B or better can waive the pre-requisite course DAT50000 . In cases where the above course(s) were completed more than 3 years ago, students can still apply for a waiver with the course syllabus from the year when they completed the course, and the program will assess the course contents to make a waiver decision.

The prerequisite courses for this program are to be completed during Session 1 and 2 of Year One:

Emphasis/Concentration/Track Requirements


Curriculum Plan


The following curriculum plan is a sample and serves only as a general guide. Curriculum plans and course sequence are subject to variation depending on a student’s start term. Students must complete all coursework required for their program as set forth in their individual master plan of study.

8-Week Calendar


Term 2 (6 units)


Term 3 (6 units)


Term 4 (4 units)


Term 5 (4 units)


Term 6 (4 units)


Term 7 (3 units)


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