Computer Science - Machine Learning
Redmond, Washington, United States
DigiPen Institute of Technology's Computer Science - Machine Learning program explores advanced data science techniques, emphasizing the development of computational algorithms that enable computers to identify patterns, insights, and connections within complex datasets. The curriculum focuses on neural network architectures, deep learning, and predictive modeling, preparing students to innovate in fields such as natural language processing, computer vision, and autonomous systems. The program aims to cultivate skills necessary for careers in data science, AI development, and software engineering, fostering a deep understanding of machine learning principles and their real-world applications.
- Redmond, Washington, United States
- 4 years
- On Campus
- ₹38,17,110/Year
Pros & Cons
Not enough reviews to generate pros and cons
Program Overview
DigiPen Institute of Technology's Computer Science - Machine Learning program explores advanced data science techniques, emphasizing the development of computational algorithms that enable computers to identify patterns, insights, and connections within complex datasets. The curriculum focuses on neural network architectures, deep learning, and predictive modeling, preparing students to innovate in fields such as natural language processing, computer vision, and autonomous systems. The program aims to cultivate skills necessary for careers in data science, AI development, and software engineering, fostering a deep understanding of machine learning principles and their real-world applications.
QS World Ranking
Not Available in Not Available
Class Size
400 Students
Key Features
Specializations Available
AI/ML, Systems, Theory, Human-Computer Interaction
Research Opportunities
Access to cutting-edge research labs and industry partnerships
Admission Requirements
IELTS
6.5
Key Dates
Application Start time & Deadline
Starting 2025-09-01
Apply before 2125-04-18
Program Start
Unknown
Programme Structure
Courses include:Discrete MathematicsMachine LearningData StructuresMotion DynamicsAlgorithm AnalysisWaves, Optics and ThermodynamicsDeep Learning
Program Highlights
- Comprehensive curriculum covering all key topics
- Hands-on projects and real-world case studies
- Expert faculty with industry experience
- Career support and placement assistance
Academic Requirements
GPA
2.5
English Language Requirements
IELTS
6.5
Overall ScoreAdditional Requirements
Applicants must meet general admission criteria, including submission of an application form, application fee, standardized test scores (ACT/SAT), academic transcripts, and a personal essay. A minimum cumulative GPA of 2.5 on a 4.0 scale is recommended. Additional requirements include proof of proficiency in mathematics and science, and adherence to specific program prerequisites. International applicants should ensure compliance with visa regulations and provide necessary documentation as specified by the admissions office.
Course Fees
₹38,17,110/Year
Annual Fee
4 years
Total Duration
Living Costs
No Living costs available.
University Scholarships
No University Scholarships Available
External Scholarships
Rochelle Nicolette Perry Memorial Scholarship
N/A
Amount
1250 USD
Deadline
Not specified
Organization of American States (OAS) Academic Scholarship Program
N/A
Amount
Various benefits
Deadline
Not specified
Master's Scholarship
N/A
Amount
Various benefits
Deadline
Not specified
Denise Halbach Performance Scholarship
N/A
Amount
2000 USD
Deadline
15 Apr 2025
Thomas Jefferson Prize in United States History
N/A
Amount
300 EUR
Deadline
Anytime
Eligibility Requirements
No Eligibility Requirements Available
Application Process
No Application Steps Available
News About Abroad
No news articles found
