1. What the admissions committee will read between the lines: self-motivation, competence, potential as a graduate student.
2. Emphasize everything from a positive perspective and write in an active, not a passive voice.
3. Demonstrate everything by example; don’t say directly that you’re a persistent person, show it.
4. If there is something important that happened to you that affected your grades, such as poverty, illness, or excessive work, state it. Write it affirmatively, showing your perseverance despite obstacles. You can elaborate more in your personal statement.
5. Make sure everything is linked with continuity and focus.
· Demonstrated significant academic achievement by overcoming barriers such as economic, social, or educational disadvantage;
· Potential to contribute to higher education through understanding the barriers facing women, domestic minorities, students with disabilities, and other members of groups underrepresented in higher education careers, as evidenced by life experiences and educational background. For example,
~attendance at a minority serving institution;
~ability to articulate the barriers facing women and minorities in science and engineering fields;
~participation in higher education pipeline programs such as, UC Leads, or McNair Scholars;
· Academic service advancing equitable access to higher education for women and racial minorities in fields where they are underrepresented;
· Leadership experience among students from groups that have been historically underrepresented in higher education;
· Research interests focusing on underserved populations and understanding issues of racial or gender inequalities. For example
~research that addresses issues such as race, gender, diversity, and inclusion;
~research that addresses health disparities, educational access and achievement, political engagement, economic justice, social mobility, civil and human rights, and other questions of interest to historically underrepresented groups;
~artistic expression and cultural production that reflects culturally diverse communities or voices not well represented in the arts and humanities.
不需要提交 GRE 成绩
· STAT 201A Introduction to Probability at an Advanced Level
Distributions in probability and statistics, central limit theorem, Poisson processes, modes of convergence, transformations involving random variables.
· STAT 201B Introduction to Statistics at an Advanced Level
Estimation, confidence intervals, hypothesis testing, linear models, large sample theory, categorical models, decision theory.
· STAT 230 Modern applied statistics
Intro to Computer Vision and Computational Photography
Statistical Learning Theory
Randomness and Computation
Designing, Visualizing and Understanding Deep Neural Networks
Urban Informatics and Visualization
Optimization Models in Engineering
Convex Optimization and Approximation
Hierarchical Statistical Models in EnvSci2
Applied Data Science with Venture Applications
Mathematical Programming (optimization)
Applied Stochastic Processes
Learning and Optimization
Applications in Data Analysis
Applied Machine Learning
Data Mining and Analytics
Applied Natural Language Processing
Natural Language Processing
Machine Learning in Education
Advanced Matrix Computation
Fundamentals of Business
Statistical Analysis of Categorical Data
Causal Inference 1
Introduction to Time Series
Modern Statistical Prediction and Machine Learning