Degree Requirements | Learning Analytics | Human Development

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Learning Analytics

In the Department of Human Development

Degree Requirements

Masters of Science (32-credits)

 Required Program Courses:

  • HUDK 4011: Networked and Online Learning
  • HUDK 4050: Core Methods in Educational Data Mining
  • HUDK 4051: Learning Analytics: Process and Theory
  • HUDK 4052: Normative Perspectives on the Analysis of Learners and Learning OR HUDK 4011 - Networked and Online Learning
  • HUDK 4054: Managing Educational Data
  • HUDK 5053: Feature Engineering Studio

Additional Program Courses (3 required):

  • HUDK 4029: Human Cognition and Learning
  • HUDK 4080: Educational Psychology
  • HUDK 5030: Visual Explanations
  • HUDK 5035: Psychology of Media
  • HUDK 5100: Supervised Research and Practice

Capstone Project:

Students will complete an integrative capstone project that draws on the perspectives and skills acquired during their studies.


College Breadth Requirement:

In addition, a minimum of six points outside of HUDK are selected in consultation with an advisor. Some potential courses include:

  • HUDM 4122 Probability and statistical inference
  • HUDM 4125 Statistical inference
  • HUDM 5026 Introduction to data analysis in R
  • HUDM 5122 Applied regression analysis
  • HUDM 5123 Linear models and experimental design
  • HUDM 5124 Multidimensional scaling and clustering
  • HUDM 5133 Causal inference for program evaluation
  • ORLA  6641 Advanced topics in research methods and design
  • HUDM 4050 Introduction to measurement
  • HUDM 5059 Psychological measurement
  • A&HF 4090 Philosophies of education
  • A&HF 4192 Ethics and education
  • ITSF  4010 Cultural and social bases of education
  • ITSF  5003 Communication and culture
  • MSTU 4001 Technology and school change
  • MSTU 5001 Assessing the impact of technology in our schools
  • MSTU 4037 Computers and the uses of information in education
  • MSTU 4083 Instructional design of educational technology
  • MSTU 4085 New technologies for learning
  • MSTU 4133 Cognition and computers
  • MSTU 5035 Technology and metacognition
  • MSTU 4022 Telecommunications, distance learning, and collaborative interchange
  • MSTU 4039 Video games in education
  • MSTU 4052 Computers, problem solving, and cooperative learning
  • MSTU 5005 Case-based teaching and learning in electronic environments
  • MSTU 5030 Intelligent computer-assisted instruction



Full-time MLA Program


Students can apply for and be admitted to the full-time program in the fall semester only. This program takes up to 3 semesters of study.




Typical Full Time Course Sequence





Summer B

HUDK 4050

HUDK 4051

HUDK 5053

Capstone Completion

HUDK 4052 or HUDK 4011

HUDK 4054

HUDK 5100 


HUDK 4029 or HUDK 4080

HUDK 5030 or HUDK 5035



HUDM 4122

HUDM 5122


For International Students on Visas:

Each semester you need to maintain 12 points for full time status
In your last semester, you will need a “Reduced Course load” form signed by the Program Director


For all students:

In your last semester, you will need to submit an “Intent to Graduate” form early in the semester


Program Policies


Satisfactory Progress in MLA Program Policy


Students are expected to make satisfactory progress toward the completion of degree requirements.  If satisfactory progress is not maintained, a student may be dismissed from the program.  Program faculty annually reviews each student’s progress. Where there are concerns about satisfactory progress, students will be informed by the program faculty.  If a student is performing below expectations, remedial work within an appropriate timeline may be required.  If satisfactory progress is not maintained, a student may be dismissed from the program. Further policy details can be found in the Teachers College Student Handbook:


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