Standard Chartered Scholarship
Career goals, within reach.
Scholarship Process
Submit your application between March 2, 2022 through April 1, 2022.
NANODEGREE PROGRAM
Those selected as one of 100 scholarship recipients will begin their chosen Nanodegree program. During your learning journey, you will have the opportunity to participate in networking and mentoring sessions to learn industry best practices and more.
GRADUATION
Learners will graduate with a portfolio of real-world projects and receive an official certificate after completing the program. Plus, you will be eligible to be considered for immediate job opportunities within Standard Chartered. These open roles require advanced skills in data science, full-stack engineering, and blockchain development.
Program schedule
Application start date
March 2, 2022
Application end date
April 1, 2022
Learner start date
April 25, 2022
Learner end date
August 24, 2022
Data Scientist
Focus on the following digital competencies:
- Relational & non-relational DBs
- Data lakes with Spark
- Supervised learning
- Unsupervised learning
- Neural networks (Tensorflow)
- Intro to computer vision
- Advanced computer vision & deep learning
- Intro to NLP
- Computing with natural language
- Ethics of AI
Full Stack Software Engineer
Focus on the following digital competencies:
- SQL and data modeling for the web
- API development and documentation
- Angular fundamentals
- React fundamentals
- Server deployment and containerization
- Full stack apps on AWS
- Azure applications
- OWASP guidelines: Application security
Blockchain Developer
Focus on the following digital competencies:
- Cryptography basics
- System security
- Infrastructure security
- Blockchain fundamentals
- Ethereum contracts
- Blockchain architecture
- Dapp with smart contracts
About Standard Chartered
SCNXT stands for Standard Chartered Next, which is the Innovation Centre of Excellence for Standard Chartered that partners with their operations, technology, risk, and finance business functions to provide cutting edge solutions to transform further, faster. The teams are structured into four pillars: AI and Machine Learning, Data Analytics and Insights, Lean Digital, and Robotics. These teams help solve complex problems and drive operational efficiency, risk reduction, revenue creation, cost avoidance, and improved client experience.
Frequently Asked Questions
How can I benefit from this program?
You will work on real-world projects with the most up-to-date content, co-created with top industry experts to build your portfolio. Throughout your journey, you will have access to a supportive online community, where you will get support from mentors and fellow learners, along with building a strong industry network.
How many spots will be available?
There are 100 scholarships available. Winners will be announced on April 21, 2022 and will have full access to the Nanodegree program content on April 25, 2022. Scholarship recipients must begin and make progress in their course by May 15, 2022, or they will be removed from the program.
What does the learner journey look like as part of this program?
Students will have access to the course material through their classroom and will have weekly virtual touchpoints with a Udacity Session Lead to check on their progress, work through case studies and solve their technical blockers. In order to graduate, students must complete a set of projects within the specified timeframe.
What are Connect sessions?
Connect sessions are mandatory weekly sessions with a Udacity Session Lead to track progress, work through technical blockers, and work on relevant case studies together. These sessions are a great opportunity to network, build connections, and stay on track to graduate on time.
What are the eligibility criteria to enroll?
Applicants must be 18 years of age or older and be located in the Bangalore or Chennai area.
Are there any fees for enrollment?
No, this is a free scholarship opportunity.
Are there any prerequisites for enrollment?
Data Scientist prerequisites include:
- SQL skills
- Version control
- Programming with Python
- Basic data analysis skills
- Practical statistics
- Data wrangling
- Data lakes with Spark
- Understanding of relational & non-relational DBs
- Programming with Javascript
- Knowledge in web development
- React fundamentals
- Object-oriented JavaScript
- Functional programming
- Asynchronous development
- Programming with Python
- Linux command line basics
- Cryptography basics
- System security
- Infrastructure security
- Programming with Javascript
- Object oriented JavaScript
- Functional programming
- Asynchronous development
Is this program online, in-person, or combination of both?
The program takes place 100% online. You can work from wherever you want to, as long as you have a working internet connection.
How many hours a week should I expect to spend on my coursework, in order to finish on time?
Between instructional content, quizzes, projects, and other course-related activity, we estimate that investing 10-15 hours/week of self-study (including attending weekly 1.5-2 hour virtual connect sessions) will enable Nanodegree program learners to proceed through the curriculum at a successful pace.