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September Intake: Special Exempt Programme Intake


The School of Tourism and Hospitality (STH) offers a special undergraduate programme for those who are already working in the industry and holding a professional diploma in hospitality or tourism from an accredited institution. This programme bridges the diploma to a degree, leading to a degree in: Bachelor of Science in Hospitality and Hotel Management (BHHM) Bachelor of Science in Tourism Management (BTM) Successful candidates may be exempted some of the units offered in the evening course degree programme. Candidates applying for exemption shall be required to sit for a qualifying exam in hospitality and tourism. Entry requirements: Be a holder of a diploma in a relevant discipline from an institution accredited by the Academic Council of the University: OR Be a holder of any other qualification accepted by Academic Council of the University as equivalent to (a) above. Candidates who hold (a) or (b) qualifications will be required to pass the qualifying examination. Should have at least a minimum grade of C (Plain) or C - (minus) + Recognized certificate. 6 credits at O level, a level 2 principal passes and 1 subsidiary. IB 24 out of 45. The following diploma qualifications are accepted for the special exempt programme: Kenya Utalii College - Diploma in Hotel management Kenya Utalii College - Diploma in Tourism management. KNEC - Catering and Accommodation KNEC - Food and Beverage Management KNEC - Diploma in Tourism Management TUK - Diploma in Institutional Catering and Accommodation Management TUK - Diploma in Travel and Tourism Management KWSTI - Hospitality and Tourism KWSTI - Environmental Management KWSTI - Wildlife Management IHTI - BTEC Higher National Diploma in International Hospitality Management BIHC - Diploma in Hotel Management Possession of the minimum requirements does not guarantee automatic admission to the Hospitality and Tourism degree programmes. Interview requirements Interviews are...

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September 2020 Intake:Futures Certificate Course


Course Aim The Futures’ Certificate course is aimed at equipping students with the necessary skills to face the future with relevance and depth. This course will instill  futuristic skills in its students: these are skills that are aimed at innovation and invention and in building our future professional skills whatever their field of interest may be. This course will cover areas such as Creative thinking, Futures thinking and Artificial Intelligence. These topics are key for prospective future professionals as they are skills needed in this dynamic environment. In addition participants will have an upper hand in adapting to changes such as those brought about by the Corona Virus in all sectors of life. Imagination, creativity, and innovation are the skills of the future. The course will aim at introducing to Students the differences and necessity of these three skills and hopefully inculcate this through critical thinking and technology. There are three levels Basic level, Intermediate level and Advanced level In each level students will be taught how to Critically analyze ideas Create a ‘useful’ idea based on discussions and literature Work in teams and build Futuristic skills individually Create a futuristic product based on machine learning skills acquired and corresponding to learning levels For the first intake we will only be offering the basic level. Basic Level The aim of the basic level is to provide the foundational skills, futuristic tools, critical and creative skills, and ability to work across different divides. The course is focused on students at high school level and is project based.  Duration of Study The program will run for 5 weeks, with 3 weeks of learning and the students will then have 2 weeks to work on a final project. Final Project The students will be required to come up with a specific futuristic project which can be applicable in...

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Certificate in Data Science


FULL TIME CLASS: KSH. 98,000/= EVENING CLASS: KSH. 90,000/= Registration Requirements Original and Copy of Birth Certificate/Passport/National ID Three passport size photographs Registration fees of 1,500/= KCSE Results slip: Mean grade B+; Mathematics A- and English A- Computer Studies is added Advantage Kindly download brochure here

Campaigns Schedule 2020 : Debates


Date Candidate Position Time Monday 21st September 2020         Tuesday 22nd September 2020 Sumaya Adan Academic Representative 5.00pm Velma Gatwiri Academic Representative Josephine Waliaula Academic Representative Shalom Orlando Academic Representative Reuben Apuya Academic Representative Arwa Feisal Sports Representative Nicholas Mwirabua Sports Representative Denzel Maina Sports Representative Jamaldin Ramadhan Finance Rep Rodney Njogu Munene Finance Rep Sumaiya Abdikadir Public Relations Rep Natalie Cynthia Namugga Public Relations Rep Wednesday 23rd September 2020     Thursday September 24th 2020 Gilbert Okoth Secretary 5.00pm Jeremy Matayo Secretary Renee Tikolo Vice Chairperson Dalton Mwandware Vice Chairperson Jane Awuor Vice Chairperson David Mwangi Chairperson Peter Wanyangi Chairperson Letaya Gideon Chairperson Martin Ntoiti Chairperson Rayan Jatelo Chairperson Don Kamoya Chairperson   The debates and speeches for students aspiring for posts in the student’s council will be held via zoom from Wednesday 16th September. See attached campaign schedule. Topic: student council debates Time: Sep 16, 2020 05:00 PM Nairobi Join Zoom Meeting https://strathmore.zoom.us/j/6210613073?pwd=OTY1ZWJDUzFuNkMvV2ZES041eHlRdz09 Meeting ID: 621 061 3073 Passcode: 011552 Candidates Manifesto and Posters Click here

The foundations of teaching with technology


This course is for Secondary and Primary School Teachers This course will include Training in the use of tools & platforms such as Zoom, Google Classroom Screencasting & Podcasting. In the process participants will gain skills in using technology to enhance subject related teaching strategies. TRAINING DATES 22nd September - 3rd November 2020 Every Tuesdays & Thursdays from 10.30am to 11.30 am Registration link: https://bit.ly/2EMbequ

Challenge Based Learning (CBL) Program


The CBL program is a collaborative learning experience in which lecturers, industry mentors and trainers, and students work together to solve nontrivial business problems. The program provides a framework for learning while solving real-world challenges. It also provides a sustainable pipeline of skills for local enterprises and encourages certification of local talent on international technologies. The goal of the program is to contribute to the alleviation of current 21st Century skills gap in the region and consequently promote local innovation that address business and local development challenges through the use of leading Information and Communication Technologies. At the end of the program, participants are expected to gain technical and soft skills, in addition to deployment of functional solutions that address real-world business challenges of a company to which they will be attached. Duration: The program spans for a 9-12 months period. Training Venue: @iLabAfrica Research Centre, Strathmore University, Nairobi, Kenya. Professional Qualifications: Can develop robust, user-friendly Web Applications. Mobile Application development skills (preferably Android) is an added advantage. Has an interest in emerging technologies e.g. Data Science, Internet of Things (IoT), Artificial Intelligence etc. Possesses analytical (quantitative and qualitative) and Problem-solving skills with a keen attention to detail. Ability to learn new tools and technologies within extremely limited time. Ability to work in a fast-paced team environment and in multifaceted teams constituting of people from diverse backgrounds, gender and age. Demonstrate ability to maintain confidentiality and handle sensitive issues. Available for 12 months full-time. Academic Qualifications Individuals who have undertaken the study disciplines indicated below are strongly encouraged to join the CBL program; Education Academic Degree in Engineering, Computer Science / Information Technology, Information Systems, Statistics, Data Science or a related field from a recognized institution of higher learning. Application Guidelines Should you have any questions on the participant commitment fee or require further...

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Student Council Elections

E-Learning Strathmore University, Nairobi

Candidates Manifesto and Posters Click here Election period timetable Submission of election application by prospective candidates – 21st August 2020 to 31st August 2020 Vetting of the applications by the Election Committee – 1st September 2020 to 3rd September 2020 All classes to select their voting delegates – 24th August 2020 to 14th September 2020 All who applied for candidacy for the various posts are informed of the decision by the Election Committee – 4th September 2020 Official campaign period (campaign to be done online via zoom every evening except on Saturday and Sunday ) – 7th September to 28th September 2020 No campaigns – Tuesday 29th September 2020 ELECTION DAY (Voting to be online via Elearning from 9.00am to 12.00pm ) – Wednesday 30th September 2020 Contact email: electionscommittee@strathmore.edu Read the Student Council constitution at http://www.strathmore.edu/Docs/New-Constitution.pdf Download the election calendar here Regards, Paul Ochieng' ,Dean of Students

Virtual time Series Data Analysis


Course Content Introduction to time series analysis and key features of economic time series Issues of using OLS with time series data: Non-Stationarity and Unit Root testing Univariate time series analysis: Autoregressive & Moving Average Processes Univariate time series analysis: Estimation, hypothesis testing and model selection Seasonality Forecasting Practical applications of Box Jenkins methodology, seasonality and forecasting using EViews Multivariate time series analysis: Foundations of Cointegration Analysis Multivariate analysis: Vector Autoregressive Models Advanced topics in time series analysis: Fractional integration, fractional cointegration, frequency domain and long memory processes Course Schedule Date:5th October – 9th October 2020 Days:Monday – Friday Time:9:00 AM – 1:00 PM Facilitators Robert Mudida Helen Osiolo Rogers Ochenge Registration Fees Discounted fee: KSH. 20,000 (USD 200) The registration fee covers attendance, training materials and certificate. All participants will have access to Stata 15 during the entire training period. To register visit: https://bit.ly/3c9oL7q Mode of Payment MPesa Business Number: 168633 Account Number: 990202208700 Bank Deposit Name: Strathmore University Bank: STANDARD CHARTERED BANK Account Number & Currency: 0102044844000 (KES) 8702044844000 (USD) Branch: Karen Branch code: 075 Bank code: 02 Swift Code: SCBLKENX Inquiries Please contact: crae@strathmore.edu or Cynthia Ng’otwa at cngotwa@strathmore.edu or call 0723965739 During office hours (9.00 AM to 5.00 PM Monday to Friday) Download Poster  

R Programming Training


Venue: Online Duration: 12th-16th October Time: 9:00 am to 4:00 pm Why this course Evidence-based programmes within the national and county government circles, non-profit and corporate organizations require concrete knowledge in data analysis and interpretation. It is therefore imperative that technocrats, programmers and policymakers are adequately equipped with relevant data analysis skills. This course is tailored to introduce statistical knowledge and prepare participants for data analysis tasks. Prerequisites This course targets beginners with limited or no prior knowledge of statistics or quantitative research. Participants are requested to bring a laptop. Registration  

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