Graduates of undergraduate programs in Computer Science are encouraged to apply for the Master of Science in Computer Science at Oxford University. This program is designed for individuals from this discipline, as well as those from related disciplines, who have some level of training or hands-on experience in programming. It is also applicable for individuals who were previously or are currently employed in a professional related industry.

This full-time program of study teaches a range of advanced topics and methods, as well as foundational subjects, to aid computer science graduates in lifelong career success. Lasting twelve months and extending from October to September, this program is not offered in a part-time format. 51 places are available, with a whopping 519 applications received each year.

Applicants need not be from computer science backgrounds, but can be those who have strong mathematical abilities and have undertaken programming tasks in the past. It is designed for candidates who are interested in finding out more about the ideas and principles behind programming, as experienced programmers in both industrial and commercial settings have expressed a need for trainees who are skilled in the formal methods needed to work with unreliable or faulty software.

Graduates in this program will be able to expand their base knowledge in specialized topics, as well as to develop an improved understanding of the mathematics of computing. They will be able to apply their training to the fundamental techniques of computer science.

Oxford also offers multiple DeepMind Computer Science Scholarships each year. These awards are for students wishing to pursue graduate study in Oxford’s Department of Computer Science. They are open to UK residents and students who identify as female, BME, or from households with low socioeconomic status. There is no separate scholarship application process. All application materials such be submitted to the admissions department by one of the three stated deadlines, but to be considered for the scholarship, materials must be received by January.

All materials must be submitted no later than noon on January 7, 2022. Questions may be directed to Tim Jones, the Master of Science Course Administrator, at graduate.admissions@cs.ox.

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Jobs at Apple are rewarding and enriching, both personally and professionally. They are available in a wide range of fields, including in stores, corporate workings, and at home. Apple also offers several internship opportunities to qualified students.

On November 9, 2017, Apple announced the Data Science and Machine Learning Internship through Apple Maps. This job is located in Santa Clara Valley, California and requires a full forty hours of work a week.

The intern will join the Apple Maps Routing and Traffic team in 2018. This team works on some of the most challenging and significant big data issues in the modern computer engineering field. The group works to make sense of petabytes of data in order to deliver critical navigational functionality for the millions of users who depend on the success of Apple Maps.

This internship is a great opportunity for a motivated, talented student looking to apply his or her coding and machine learning skills to a large, significant application. The ideal intern will have experience in machine learning theory and practice, in particular neural networks and sequence-based models. He or she will also have used machine learning software such as Python Sci-Kit, TensorFlow, Weka, MATLAB, or R. The successful candidate will have in-depth experience in Java or Python, along with CS fundamentals and object-oriented programming. Experience with Hadoop or Spark is an additional bonus.

This internship will allow the candidate to practice skills necessary to develop novel solutions to improve the quality of traffic information, routes, navigation, and ETA using large-scale streaming data. Interns will work closely with experts in machine learning and traffic and solve interesting data-driven projects. Interns should be currently enrolled in Ph.D. studies in Computer Science, Mathematics, Statistics, Civil Engineering (Traffic with a data science focus), or a related field.

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The Facebook Artificial Intelligence (AI) Research Residency Program seeks applicants for its 2018-2019 program. This one-year residency is designed to give candidates hands-on experience in machine learning research. Successful residents are paired with senior researchers or engineers, who will serve as mentors. Throughout the duration of the program, researchers will work to research a problem of mutual interest and incorporate new techniques to solve that problem.

Collaboration will occur both with the mentor and with other departments. Research will be communicated by the submission of papers to top academic venues, such as NIPS, ICML, ICLR, CVPR, and others, as well as open-source code releases. This is a full-time program that cannot be undertaken with any other employment or studies.

Upon completion of this residency, participants will be prepared for graduate programs in machine learning or to begin a successful research career in the field. Applications are encouraged from individuals with strong technical backgrounds who are passionate about AI research. Applicants with prior experience in machine learning are given preference, but this is not a requirement. Those with backgrounds in math, physics, finance, economics, linguistics, computational social science, and bioinformatics are encouraged to apply.

The successful applicant will have a Bachelor’s degree in a STEM field and coursework in Linear Algebra, Probability, and Calculus. He or she will also have coding experience in languages such as Python or C/C++. They will also have familiarity with platforms such as PyTorch, Caffee, Theano, or TensorFlow.

Residents will be based in Facebook Menlo Park and New York. If work visas are required, they may be obtained. Residents will learn how to perform research in deep learning and AI, and will understand prior work and existing literature. They will work with research mentors and translate ideas into code. They will also write up research results in academic papers.

Applicants should complete the online application and submit a CV/resume that includes links to GitHub, professional webpages, publications, or blog posts. They should also provide personal statements and academic transcripts.

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Google invites United States residents who are eager to master web and mobile development skills to apply for their prestigious Developer Scholarships. These scholarships allow students to learn valuable skills to launch or advance their careers as mobile or web developers. The curriculum is developed by experts from Google and Udacity and allows students to excel in a rapidly growing community of developers across the country.

Applicants must be at least eighteen years old and residents of the United States. Students may choose from either a Web Developer or Android Developer track. Once students have applied and selected a learning path (and, of course, accepted to the program), they will be placed in either a Beginner or Intermediate training track. Top students in each track will earn full scholarships to Android or Web Development Nanodegree programs.

There are twenty-five thousand seats available in the web developer track. No programming experience is required, and students will engage in a three-month program with access to Intro to HTML + CSS with support from Udacity mentors. Students will learn how to design and build stunning, engaging websites. The top 1,500 students from this program will be awarded scholarships.

In the mobile developer track, students will receive a three-month training in Android basics. They will learn how to build Android apps and learn Java development. Again, the top 1,500 students will be awarded scholarships to the more intensive six-month study program.

The application process takes only about ten minutes. All applicants, regardless of experience level or track, will complete the same application. Training in this program, as well as the application process, all takes place entirely online.

All applications are due November 30, 2017. Recipients will be notified December 7 2017 and the program begins on December 11, 2017. Questions about the application process or program may be directed to scholarships-support@udacity.com.

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The Google AI Residency Program (formerly known as the Google Brain Residency Program) is being offered starting in the summer of 2018. This year-long program is designed to advance participants’ careers in machine learning research. Residents will work with distinguished scientists from various teams in order to become established AI researchers.

This program was created in 2015 and has been recently expanded to include a broader group of research teams. This program allows residents to publish their work externally and develop a strong reputation in the field of research. Residents will conduct original, fundamental research and contribute to services utilized by millions of individuals.

This program is ideal for individuals who want to learn how to conduct machine learning research, especially in collaboration with other qualified researchers. Candidates with limited experience in machine learning or related fields may apply, as may those who have research experience in another field (such as mathematics, physics, bioinformatics, etc).

Qualified applicants will have a minimum of a Bachelor’s degree in a STEM field, such as Mathematics, Computer Science, or Statistics, or equivalent professional practical experience. They should have completed coursework in calculus, linear algebra, and probability, and have experience with programming languages such as C++ or Python.

Applicants must be able to submit proof of graduation from their current degree programs before beginning the residency. Candidates from any country may apply, and work visas will be supplied if needed. Students should also submit a resume, cover letter, transcript, and formal application. The application should demonstrate a formal interest in the field, along with any special proficiencies, awards, or skills. A formal CV should also be supplied, including a cover letter including a statement on why the applicant is qualified for the Google AI Residency.

All applications should be submitted by January 8, 2018. Interview will take place after the initial application review and running up until March 2018. Decisions will be announced in late March.

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Massachusetts Institute of Technology (MIT) and Charter Oak State College offer an exciting new course titled “Introduction to Computer Science and Programming Using Python.” This introductory computer science course teaches students how to solve real-world problems using Python 3.5. A self-paced course, it begins August 30, 2017.

The course will take approximately fifteen hours a week for most students, for around nine weeks total. It is a free course unless students wish to add a verified certificate of completion for $49. This certificate is instructor-signed and institutionally verified so that it can be added directly to a resume, CV, or LinkedIn profile. Students may also choose to pay $300 for three course credits through Charter Oak.

Students must have a background in high school algebra and an aptitude for mathematics. Although there are not course prerequisites, students without sufficient programming backgrounds will find that the course takes more time than necessary.

The course is the first in a two-step sequence, with the next step titled “Introduction to Computational Thinking and Data Science.” They are designed to help people without prior experience in computer science to begin to think computationally and write problem-solving program solutions. These courses can be used as a foundation before moving on to more advanced coursework. It briefly covers a wide range of topics with the goal of introducing students to as many topics as possible.

Coursework is both challenging and rigorous. It features updated lecture videos, exercises, and problem sets that use the new version of Python 3.5. Students will receive training in a notation of computation, the Python programming language, simple algorithms, testing and debugging, algorithm complexity, and data structures.

Courses are taught by Drs. John Guttag, Eric Grimson and Ana Bell through Charter Oak State College. Charter Oak is Connecticut’s premier online public college. The institution gives students the opportunity to earn college credits affordably and flexibly. For credit in this particular course, students must pass with a 65% or higher.

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