Research, Interpretation, and Analytics

The Analyst pathway is both innovative and eminently practical for the right kind of student, crossing the traditional strengths of media, film, and literary studies with the twenty-first century tools of data analytics.  This pathway emphasizes nuanced, careful, and precise interpretation as the Analyst strives for a deeper, contextual understanding of the digital content, media, and cultural products of Media X. Students develop judicious research and data analysis habits, allowing them to perform intelligent readings of digital media and content, with an awareness of how this media and content always functions within broader cultural or business contexts.  The Analyst pathway is pragmatic, enabling students to apply their skills through effective research and interpretation, as well as data-driven decision making, putting them miles ahead of other job seekers in any digital content or marketing career.
 

Major Requirements

Candidates for the B.A. in Media X must complete a minimum of 40 semester units, including two 4-unit core courses, one 4-unit capstone seminar, at least one production course, a practicum or internship, and a selection of electives.

3 Core Courses: 12 units

MEDX011   Critical Media Making (4 units)
MEDX013   Media Literacies(4 units)
MEDX 109   Capstone (4 units)

Experiential Learning (2-4 units)

MEDX 187   Practicum (repeatable)
MEDX 189   Internship
MEDX 197   Undergraduate Research

Production Requirement: all Media X majors must complete at least one production-based course (4 units)

ENGL 117   Film Production
THEA 89G   Live Performance Production
THEA 075   Movement and Voice
ARTS 103   Graphic Production
COMM 131   Media Production
COMM 134   Documentary Film Production
MMGT 120   Music Management: Media Production (Prereq: MMGT 106)

Analyst: Research, Interpretation, and Analytics
Candidates for the BA in Media X select one of three curricular paths to pursue or choose to self-design their major (12-16 Units) 

COMM 137   Public Relations Case Studies and Problems
COMM 139   Theory of Mass Communication
COMP 051   Introduction to Computer Programming
COMP 053   Data Structures
COMM 160   Communication Research Methods
ECON 53   Microeconomics
ECON 55   Introductory Macroeconomics
ECON 161   Computer Applications in Economics
ECON 190   Econometrics
EMGT 162   Introduction to Data Analytics for Engineers and Computer Scientists
ENGL 106   Content Engineering
MATH 035   Elementary Statistical Inference
MATH 037   Introduction to Statistics and Probability
MATH 039   Probability with Applications to Statistics and Probability
MATH 130   Topics in Applied Statistics
PHIL 037   Introduction to Logic
POLS 116   Campaigns and Elections
POLS 119   Government in Action: Public Policy Analysis
RELI 039   Introduction to the Digital Humanities
THEA 111   Script Analysis
SOCI 171   Social Research Methods