L8 Certificate in Secure IT & Deep Machine Learning

Institute of Technology, Sligo (SG_KSECU_E08)
Key Programme Details
Award

Certificate

NFQ Level

8 About NFQ

Delivery Method

Online

Mode

Part Time

ECTS Credits

40

Department

Computing

Skills Area

Information and communication (including ICT)

General Information
Contact

Jean Gilligan

Email

gilligan.jean@itsligo.ie

Phone

071 9305835

Address

Jean Gilligan,
Springboard Project Coordinator,
IT Sligo,
Ash Lane,
Sligo.

Role

Springboard Project Coordinator

Important Dates
Application Deadline

14/09/2018

Start Date

17/09/2018

End Date

31/05/2019

About this Course

This Level 8 Certificate in "Secure IT Engineering & Deep Machine Learning" has been developed with the intent of up-skilling engineers/computer scientists with a body of knowledge in the critical areas of security, Artificial Intelligence and Machine Learning. Thought of particular relevance to the autonomous vehicle industry both regionally and internationally, the content is inherently of importance across the software field.

The course is multidisciplinary in nature - it builds on existing software skills to identify and address key security issues. Software security is an ongoing process involving people and practices, and ensures application confidentiality, integrity, and availability. Secure software is the result of security aware software development processes where security is built in and thus software is developed with security in mind.

Building on advances in artificial intelligence, machine learning automates analytical model building. The programme employs neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude. Deep learning content will leverage neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications will include image and speech recognition.
The Level 8 Certificate in Secure IT Engineering & Deep Machine Learning is offered in an online manner, utilising IT Sligo’s online delivery techniques. Lectures will run between 6pm and 9pm to facilitate the target market of those in industry hoping to up-skill. The students will be required to attend practical/hands-on sessions once per semester.

Objectives

The software industry is exceptionally strong in Ireland, providing a significant number of employment opportunities in a wide variety of organisation. The opportunities are with both indigenous Irish companies and large multinational organisations and not only in what you would call “tech” companies such as Google, Microsoft and Facebook. All sectors require software professionals and there are many opportunities in traditional sectors such as finance, pharmaceutical, manufacturing, health and service industries.

The outlook is positive. Morgan McKinley report demand for software developers shows “no sign of slowing down”. It continues: “Over the past 12 months salaries have increased across the majority of areas particularly in the development space.”

Entry-Level roles that graduates may fill in the I.T. Security sector include the following:
o Software/Network Vulnerability Analyst.
o Threat Auditor.
o Cybersecurity Analyst.
o Cybersecurity Engineer.
o Software Security Engineer.
o Quality Assurance Engineer/Software Tester.

Roles that graduates may fulfil in the AI Engineering sector include the following:
o AI/ML Engineer.
o AI/ML Programmer
o Software Developer.


The course aims to up skill engineers with a body of knowledge that will enable them grow the autonomous driving market within Ireland. In particular, it is hoped that this course will lend itself to the growth of this market along the Atlantic Economic Corridor. The arrival of Jaguar Landrover (JLR) to Shannon, along with General Motors in Limerick and Valeo in Tuam are some of the Industrial pillars already in place on this corridor. IT Sligo is ideally placed to deliver a course that aligns with their needs.

Entry Requirements

Graduates with a Level 7 Ordinary Degree 2:1 or above in Computer Science or a related technical discipline are eligible to apply for this programme. Object-oriented programming knowledge at Level 7 would be expected.

Applicants who do not meet these criteria, but have the willingness to address them will be considered. Candidate interviews and entrance exams will be used to assess suitability for the programme.


In addition, international students, whose first language is not English, will be required to prove their English competency through previous examination results, recognized English language tests such as IELTS (6.5 or equivalent required) and through oral communication skills at interview.

Long Description

This Level 8 Certificate in "Secure IT Engineering & Deep Machine Learning" has been developed with the intent of up-skilling engineers/computer scientists with a body of knowledge in the critical areas of security, Artificial Intelligence and Machine Learning. Thought of particular relevance to the autonomous vehicle industry both regionally and internationally, the content is inherently of importance across the software field.

The course is multidisciplinary in nature - it builds on existing software skills to identify and address key security issues. Software security is an ongoing process involving people and practices, and ensures application confidentiality, integrity, and availability. Secure software is the result of security aware software development processes where security is built in and thus software is developed with security in mind.

Building on advances in artificial intelligence, machine learning automates analytical model building. The programme employs neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude. Deep learning content will leverage neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications will include image and speech recognition.
The Level 8 Certificate in Secure IT Engineering & Deep Machine Learning is offered in an online manner, utilising IT Sligo’s online delivery techniques. Lectures will run between 6pm and 9pm to facilitate the target market of those in industry hoping to up-skill. The students will be required to attend practical/hands-on sessions once per semester.

For all IT Sligo Springboard programmes, the participants will be enrolled on a mandatory and accredited ‘Personal Effectiveness and Employability’ programme and also a structured job readiness programme called ‘Get Working’ that will be delivered by distance learning using an enquiry based and interactive learning approach. These programmes are designed to improve the employability skills of the students with particular emphasis on CV and Interview preparation and on the job transferable skills to become an effective team member. These modules will also outline the skills needed for effective engagement in the workplace.
The course entitled “Get Working” is developed and hosted by HR specialists. During this programme the students will gain the technical skills and knowledge for work in the Biopharma and Med Tech manufacturing sectors, this job readiness programme will compliment that learning by enhancing the student’s employability. This programme consists of topics including, ‘Strategies for job readiness’, ‘What I have to offer’, ‘Identifying the right role & target employers’ as well as ‘Preparing for interviews’.
The ‘Personal Effectiveness and Employability’ programme has been assigned 10 credits and will be delivered in semester two following the ‘Get Working’ programme and on completion of this module the learner will be able to develop an independent, self-managed, reflective approach to study and work. They will become familiar with workplace cultures and collaborate effectively in groups, teams and meetings.

Why Choose This Course

The automotive industry is in a state of flux, as we move from level 1 standard driver-operated cars to level 5 fully
autonomous vehicles. This market within Ireland is a growing one because of Ireland’s high education levels and its expertise in software; this market growth is directly from automotive manufacturers and also from OEMS servicing them.
IDA Automotive estimate circa 15 automotive companies in Ireland, employing 3,500 persons while Enterprise Ireland Automotive is circa 80 companies employing 3,000 persons. Some notable details on such companies are given below.
JLR moved into Shannon in October 2017, and announced 150 software jobs on the 13th January this year. “JLR, which builds just under a third of Britain's 1.7 million cars, has said half of all its new models will be available in an electric version by the end of the decade, requiring new skills among its staff”.
Valeo Vision Systems is French owned and part of one of the world’s leading suppliers of driving assistance systems. Their Irish operation is in Tuam, Galway and is home to one of its largest R&D centres. They have a workforce of over 1000 employees, with 400+ in Research and Development. Valeo are constantly looking for new talent to join their team in Tuam; a count of their website lists 39 jobs in March 2018.
Kostal, in Limerick and Cork are another large company focused on the design & manufacturing of automotive
Electronics. Kostal has circa 1000 employees.
Large multinationals within Ireland are also working on products for the Automotive Industry. Such OEMS include
Movidius/Intel, Analog Devices, Xperi, Xilinx; all of which have automotive divisions in place to service this industry. On 3rd November 2017, Xilinx announced 100 jobs and a 40-million-euro investment in an initiative to expand its R&D Engineering operations at the company’s European headquarters in Dublin and Cork. The new employment positions are for highly skilled electronic engineering staff with specific experience in developing technologies for automated vehicles. Kirchoff Automotive, a family-owned automotive mechanical engineering design house based in Letterkenny Co. Donegal also have potential to grow in this market.
Research and Markets have stated that the global autonomous vehicles market revenue is expected to grow at a CAGR of 39.6% during the forecast period 2017-2027 reaching $126.8 billion by 2027. With the onset of Brexit, it remains to be seen as to its effect on the automotive market in Britain. The share that Ireland gets of this large revenue stream depends on the country providing the expertise and infrastructure necessary to design and develop the next generation autonomous systems. This course from IT Sligo, while disciplinary in nature,
strives to produce a talent pool that will help grow this industry, especially along the Atlantic Economic Corridor. According to Sebastian Thrun, pioneer of automated driving technology, “talent shortage is the most pressing problem facing the autonomous driving sector as technology is advancing more rapidly than educational opportunities. The automated driving engineering skill set is multidisciplinary and that broad skillset is just not there at present”.

Career Opportunities

This Level 8 Certificate in Secure IT Engineering & Deep Machine Learning is being developed with the intent of meeting the needs of the growing automotive industry within Ireland. Engineers to design Advanced Driver Assistance Systems (ADAS) such as lane assist, automated braking, and visualization through blind spots are much sought after, and the onset of autonomous driving will further reinforce this growing need. Ireland lends itself very well to the development of autonomous driving; albeit not a traditional automotive manufacturing country, the country is very strong in software based skills and it is this skill set that is at the core of autonomous driving.
The course in multi-disciplinary in nature; it is a mixture of software based skills, mathematics, mechanical engineering and Artificial Intelligence for Automotive. Its intake can come from computer science personnel and other related technical disciplines - the course aims to produce graduates with the multidisciplinary skills required to design and build the next generation of automotive vehicles.
The course aims to up skill engineers with a body of knowledge that will enable them grow the autonomous driving market within Ireland. In particular, it is hoped that this course will lend itself to the growth of this market along the Atlantic Economic Corridor. The arrival of Jaguar Landrover (JLR) to Shannon, along with General Motors in Limerick and Valeo in Tuam are some of the Industrial pillars already in place on this corridor. IT Sligo is ideally placed to deliver a course that aligns with their needs.
The course is being developed with input from Kempten University, Germany with whom IT Sligo has a close academic partnership. The course content will be influenced by a German industry steering group (BMW, Continental, etc.) in order to ensure it met their needs. Kempten and the German industry partners are eager to form international partnerships (they have currently partnered with a Japanese and Romanian university). It is envisaged that Kempton and IT Sligo will work closely together to ensure that the course continually matches industry’s changing needs.

Timetable Info

Lectures delivered online in the evenings and also available to download as recordings. The schedule will be confirmed in September.

Delivery Location

IT Sligo online delivery

Delivery Notes

e-Learning

Admissions Contact Details
Instructor

Admissions Department

Address

Online Admissions,
IT Sligo,
Ash Lane,
Sligo.

Phone

071 9318511

Email

admissions@itsligo.ie

RPL Information

IT Sligo recognises and assess prior experiential learning of applicants through its RPL process. The institute is committed to maximising access and flexibility to applicants and the RPL procedure outlines how a learner may apply for and obtain credits for prior learning. The definition of credit in this instance is the award of a grade for learning in the context of the relevant course schedule.

Application Procedures

Apply online through the Springboard website www.springboardcourses.ie

Media
IT Sligo online

Experience online learning at IT Sligo

https://www.dropbox.com/sh/2ytk4szuvg6opxm/AABKwO9YnAT9ErMeEpJVGlI5a?dl=0


Online learning webinar

The webinar demonstrated the medium by which online programmes are delivered at IT Sligo

https://drive.google.com/file/d/0B6R5gsxoeXRZQnplMGRfdGVpWG8/view?usp=sharing


IT Sligo Website

Programme page for Level 8 Certificate in Secure IT and Deep Machine Learning

https://www.itsligo.ie/courses/certificate-secure-it-deepmachine-learning/